Econometrics and economic statistics Books

Book SynopsisThis is the eighth volume in a ten-volume set designed for publication in 1997. It reprints in book form a selection of the most important and influential articles on probability, econometrics and economic games which cumulatively have had a major impact on the development of modern economics. There are 242 articles, dating from 1936 to 1996. Many of them were originally published in relatively inaccessible journals and may not, therefore, be available in the archives of many university libraries. The volumes are available separately and also as a complete ten-volume set. The contributors include D. Ellsberg, R.M. Hogart, J.B. Kadane, B.O. Koopmans, E.L. Lehman, D.F. Nicholls, H. Rubin, T.J. Sarjent, L.H. Summers and C.R. Wymer. This particular volume deals with the time series models.Table of ContentsContents: Series introduction by Omar F. Hamouda and J.C.R. Rowley Introduction: ‘Time Series Models, Causality and Exogeneity’ by Omar F. Hamouda and J.C.R. Rowley Part I: Mimic Cycles and Simulation Part II: Calibration Part III: Time Series Models: Estimation, Identification and Intervention Part IV: Causality and Exogeneity Part V: Spectral Approaches Name Index

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Book SynopsisThis is the ninth volume in a ten-volume set designed for publication in 1997. It reprints in book form a selection of the most important and influential articles on probability, econometrics and economic games which cumulatively have had a major impact on the development of modern economics. There are 242 articles, dating from 1936 to 1996. Many of them were originally published in relatively inaccessible journals and may not, therefore, be available in the archives of many university libraries. The volumes are available separately and also as a complete ten-volume set. The contributors include D. Ellsberg, R.M. Hogart, J.B. Kadane, B.O. Koopmans, E.L. Lehman, D.F. Nicholls, H. Rubin, T.J. Sarjent, L.H. Summers and C.R. Wymer. This particular volume deals with a reappraisal of econometrics.Table of ContentsContents: Series introduction by Omar F. Hamouda and J.C.R. Rowley Introduction: ‘The Reappraisal of Econometrics’ by Omar F. Hamouda and J.C.R. Rowley Part I: Rational Expectations Part II: Robustness and Interactive Criticism Part III: Specification Search Part IV: Encompassing and Testing Part V: Dismissal Part VI: The Keynes–Tinbergen Exchange Revisited Part VII: Time Series Connection Index

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Book SynopsisThis is the tenth volume in a ten-volume set designed for publication in 1997. It reprints in book form a selection of the most important and influential articles on probability, econometrics and economic games which cumulatively have had a major impact on the development of modern economics. There are 242 articles, dating from 1936 to 1996. Many of them were originally published in relatively inaccessible journals and may not, therefore, be available in the archives of many university libraries. The volumes are available separately and also as a complete ten-volume set. The contributors include D. Ellsberg, R.M. Hogart, J.B. Kadane, B.O. Koopmans, E.L. Lehman, D.F. Nicholls, H. Rubin, T.J. Sarjent, L.H. Summers and C.R. Wymer. This particular volume deals with discrete and coontinuous systems.Table of ContentsContents: Series Introduction by Omar F. Hamouda and J.C.R. Rowley Introduction: ‘Discrete and Continuous Systems, Cointegration and Chaos’ by Omar F. Hamouda and J.C.R. Rowley Part I: System Theory and General Considerations Part II: Nonlinearities Part III: Chaos Part Iv Cointegration Part V: Continuous Models Part VI: Long Memory Index

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Book SynopsisA unique and comprehensive source of information, the International Yearbook of Industrial Statistics is the only international publication providing economists, planners, policymakers and business people with worldwide statistics on current performance and trends in the manufacturing sector.Covering more than 120 countries/areas, the 1996 edition of the Yearbook contains data which are internationally comparable and much more detailed in industrial classification than those supplied in previous publications. This is the second issue of the annual publication which succeeds the UNIDO's Handbook of Industrial Statistics and, at the same time, replaces the United Nation's Industrial Statistics Yearbook, volume I (General Industrial Statistics). Information has been collected directly from national statistical sources and supplemented with estimates by UNIDO.The Yearbook is designed to facilitate international comparisons relating to manufacturing activity and industrial performance. It provides data which can be used to analyse patterns of growth, structural change and industrial performance in individual industries. Data on employment trends, wages and other key indicators are also presented. Finally, the detailed information presented here enables the user to study different aspects of industry which was not possible using the aggregate data previously available.Trade Review'This annual publication seems to be the only international publication providing worldwide statistics on current performance and trends in the manufacturing sector. In terms of comprehensiveness, accuracy, and cross-country comparisons this volume is unparalleled . . . If you are looking for an authoritative source for comparative international statistics on industrial information, this is it.'Table of ContentsContents: Introduction Part I: Summary Tables Section 1.1 The Manufacturing Sector Section 1.2 The Manufacturing Branches Part II: Country Tables

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Book SynopsisElementary Bayesian Statistics is a thorough and easily accessible introduction to the theory and practical application of Bayesian statistics. It presents methods to assist in the collection, summary and presentation of numerical data.Bayesian statistics are becoming an increasingly important and more frequently used method for analysing statistical data. The author defines concepts and methods with a variety of examples and uses a stage-by-stage approach to coach the reader through the applied examples. Also included are a wide range of problems to challenge the reader and the book makes extensive use of Minitab to apply computational techniques to statistical problems. Issues covered include probability, Bayes's Theorem and categorical states, frequency, the Bernoulli process and Poisson process, estimation, testing hypotheses and the normal process with known parameters and uncertain parameters.Elementary Bayesian Statistics will be an essential resource for students as a supplementary text in traditional statistics courses. It will also be welcomed by academics, researchers and econometricians wishing to know more about Bayesian statistics.Trade Review'A thorough and easily accessible introduction to the theory and practical application of Bayesian statistics.'Table of ContentsContents: Foreword 1. Introduction: Statistics and Probability 2. Some Basic Probability 3. More Basic Probability 4. Bayes’ Theorem, Categorical States 5. Bernoulli Process, Parameter Known 6. Bernoulli and Bayes 7. Poisson Process, Parameter Known 8. Poisson and Bayes 9. Normal Process, Known Parameters 10. Normal Process, Uncertain Parameters 11. Estimation 12. Testing Hypotheses Appendix References Index

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Book SynopsisTurbulence in Economics presents the economy as an evolutionary process, economics as a realistic science and reintroduces history as fundamental to understanding economic processes. It examines cycles and fluctuations in economic history from the point of view of turbulence in the physical sciences, (specifically hydrodynamics), and argues that an evolutionary approach is required for a better understanding of historical economic processes.Economic time is marked by a succession of long periods of economic expansion and depression, separated by deep structural changes. These periods represent distinct forms of organization of social relations, science and technology, cultural trends and political and social institutions. This is accepted by historians but rejected in orthodox economics. In this book the author challenges this and argues that the divorce between economics and history limits the ability of economics to explain reality. Within this inquiry into the crisis of orthodox economics the author considers Keynes's, Mitchell's and Schumpeter's critiques of neoclassical economics. The author then compares these to the contributions of Frisch and Wicksell, and examines recent studies of chaos, nonlinear and complex dynamics to explain the historical development of modern economics.This book will be welcomed by economic historians, historians of economic thought, institutional and evolutionary economists and those interested in chaos, complexity and modern methodology.Trade Review'Louca's book is a brilliant and convincing demonstration of the importance of deliberate and conscious attention to epistemology. . . This is an invaluable book for all those who wish to learn from the legacy of both Schumpeter and Keynes.’Table of ContentsContents: Introduction Part I: The Evolutionary Metaphors in the Reconstruction of Economics Part II: The Rocking Horse Part III: Bounded Heresies Part IV: Dr Panglaoss Hunted by the Snarks Conclusion: Complexity, The Condition of the World References Index

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Book SynopsisThe second edition of this widely acclaimed text presents a thoroughly up-to-date intuitive account of recent developments in econometrics. It continues to present the frontiers of research in an accessible form for non-specialist econometricians, advanced undergraduates and graduate students wishing to carry out applied econometric research. This new edition contains substantially revised chapters on cointegration and vector autoregressive (VAR) modelling, reflecting the developments that have been made in these important areas since the first edition. Special attention is given to the Dickey-Pantula approach and the testing for the order of integration of a variable in the presence of a structural break. For VAR models, impulse response analysis is explained and illustrated. There is also a detailed but intuitive explanation of the Johansen method, an increasingly popular technique. The text contains specially constructed and original tables of critical values for a wide range of tests for stationarity and cointegration. These tables are for Dickey-Fuller tests, Dickey-Hasza-Fuller and HEGY seasonal integration tests and the Perron 'additive outlier' integration test.Trade Review'. . . the authors are to be congratulated on producing a highly readable guide to econometric modelling. . . Many novices and practitioners will find this book a useful introduction to the area of econometric modelling.' -- Michael Clements, Journal of Applied EconometricsTable of ContentsContents: Preface to Second Edition Preface 1. Traditional Methodology in Retrospect 2. Data Mining 3. Origins of a Modern Methodology: the DHSY Consumption Function 4. General to Specific Modelling 5. Cointegration Analysis 6. Vector Autoregression: Forecasting, Causality and Cointegration 7. Exogeneity and Structural Invariance 8. Non-nested Models, Encompassing and Model Selection References Index

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Book SynopsisA unique and comprehensive source of information, the International Yearbook of Industrial Statistics is the only international publication providing economists, planners, policy makers and business people with worldwide statistics on current performance and trends in the manufacturing sector.This is the third issue of the annual publication which succeeds the UNIDO's Handbook of Industrial Statistics and, at the same time, replaces the United Nation's Industrial Statistics Yearbook, volume I (General Industrial Statistics). Covering more than 120 countries/areas, the 1997 edition of the Yearbook contains data which is internationally comparable and detailed in industrial classification. Information has been collected directly from national statistical sources and supplemented with estimates by UNIDO.The Yearbook is designed to facilitate international comparisons relating to manufacturing activity and industrial performance. It provides data which can be used to analyse patterns of growth, structural change and industrial performance in individual industries. Data on employment trends, wages and other key indicators are also presented. Finally, the detailed information presented here enables the user to study different aspects of individual manufacturing industries.Trade Review'This annual publication seems to be the only international publication providing worldwide statistics on current performance and trends in the manufacturing sector. In terms of comprehensiveness, accuracy, and cross-country comparisons this volume is unparalleled . . . If you are looking for an authoritative source for comparative international statistics on industrial information, this is it.'Table of ContentsContents: Introduction Appendices Part I: Summary Tables Section 1.1 The Manufacturing Sector Section 1.2 The Manufacturing Branches Part II: Country Tables

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Book SynopsisNonlinear modelling has become increasingly important and widely used in economics. This valuable book brings together recent advances in the area including contributions covering cross-sectional studies of income distribution and discrete choice models, time series models of exchange rate dynamics and jump processes, and artificial neural network and genetic algorithm models of financial markets. Attention is given to the development of theoretical models as well as estimation and testing methods with a wide range of applications in micro and macroeconomics, labour and finance.The book provides valuable introductory material that is accessible to students and scholars interested in this exciting research area, as well as presenting the results of new and original research. Nonlinear Economic Models provides a sequel to Chaos and Nonlinear Models in Economics by the same editors.Trade Review'This collection provides valuable introductory material that is accessible to students and scholars interested in this research area.' -- Business HorizonsTable of ContentsContents: Part I: Introduction 1. Nonlinear Modelling: An Introduction Part II: Cross-sectional Applications 2. A Model of Income Distribution 3. Truncated Distribution Families 4. Betit: A Flexible Binary Choice Model 5. Estimation of Generalised Distributions 6. Age and the Distribution of Earnings 7. Count Data and Discrete Distributions Part III: Time Series Applications 8. A Model of the Real Exchange Rate 9. Jump Models and Higher Moments 10. A Topological Test of Chaos 11. Genetic Algorithms and Trading Rules Part IV: Neural Network Applications 12. Artificial Neural Networks 13. An ANN Model of the Stock Market 14. Exchange Rate Forecasting Models Index

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Book SynopsisThis important new book presents the theoretical, econometric and applied foundations of the economics of innovation as well as offering a new approach to the measurement of technical change. The author, a leading expert in innovation economics and management, critically reviews current schools of thought and presents his own contribution to measurement techniques.Measurements of technical change have focused on the characteristics of price and quantity whilst useful theories and reliable indicators of the quality of innovation in new products have been sorely lacking. The author examines the theoretical foundations of the measurement of technical change and extends the analysis to consider the econometric and empirical perspective in the process of innovation. He outlines the key contributions to innovation research by reviewing the English-language literature and providing a very useful guide to the most important contributions in other languages. In the measurement of the quality of innovation, the techniques used in the author's contribution to new 'technometrics' are presented and explained in detail and are applied to the most important topical problems in innovation and management.This significant addition to the literature will be invaluable to graduates, scholars and managers working in the area of technical change, technology and innovation management.Trade Review'The book is excellent at presenting the problem - the gap between theory and applied work in the economics of innovation - and suggesting a solution. . .'Table of ContentsContents: Part I: Innovation Theory: Status and Problems PartII: Measurement of Innovation Part III: Practice: Exemplary Problems in Innovation Analysis Part IV: Outlines and Outlook Index

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Book SynopsisThis outstanding collection of William Brock's essays illustrates the power of dynamic modelling to shed light on the forces for stability and instability in economic systems. The articles selected reflect his best work and are indicative both of the type of policy problem that he finds challenging and the complex methodology that he uses to solve them. Also included is an introduction by Brock to his own work, which helps tie together the main aspects of his research to date. The volume covers: stochastic models and optimal growth financial and macroeconomic modelling ecology, mechanism design and regulation nonlinearity in economics. Trade Review'Since the early 1970s Buz Brock has been a leading figure in economic theory. These essays reflect his enormous talent, great imagination and modelling skills, but they also reflect his dedication to produce economic models that are well motivated by data and that can be used to discuss substantive economic issues. All students of modern economics will benefit from studying the papers in this collection.' -- Jose A. Scheinkman, Princeton University, US'Buz Brock has been for a long time, and still is a role model for all scientists that are truly dedicated to understanding the dynamic evolution of social systems (and, is there anything meaningful in the social systems without dynamics?). Reading through the essays collected in this beautifully edited book helps to understand why this is so and why his style of doing research should be looked at for a long time to come. His investigation spans a large variety of issues, both substantive and technical, theoretical and applied, methodological and policy-oriented. In each and every essay, Buz brings in a rare combination of talents: a clear and sharply inquisitive mind, a keen sense for the fundamental questions, a broad knowledge of the literature and the relevant facts and abundance of technical skills. All blended together by a passionate curiosity, which knows how to jump above and beyond disciplinary divisions and pre-established answers. His work has been path-breaking for more than thirty years now and is going to remain so for a while longer. Reading his work is sheer pleasure for an inquisitive mind.' -- Michele Boldrin, University of Minnesota, US'There is no better route to the understanding of modern dynamic economics, growth theory, and stochastic economic models than the study of the essays of William Brock. From his early contributions to the turnpike literature of optimal growth theory to his recent analysis of time series that may represent chaotic or stochastic processes, his work is characterized by surprising insights and useful results. There is no dross in his writing. He never speaks unless he has valuable knowledge to impart.' -- Lionel McKenzie, University of Rochester, US'Buz Brock's contribution to economic theory in general and economic dynamics in particular are characterized by an unmatched richness of ideas and by deep theoretical, empirical as well as computational analysis. Brock's contribution to economic dynamics range from one extreme of the field, global stability of stochastic optimal growth models, to another extreme, market instability and nonlinearity in economic and financial modelling and data analysis. But his work also includes environmental and economic policy issues and, more recently, the modelling of markets as complex adaptive systems. This collection of essays reflects Brock's richness of ideas that have motivated economists for more than three decades already and will continue to influence many economists for the next decades to come.' -- Cars H. Hommes, University of Amsterdam, the Netherlands'Buz Brock has been, from the beginning of his career, one of the most original thinkers in dynamic economics. His early work showed that growth with random elements could be studied effectively and above all posed exactly the right questions. His more recent work has brought complexity theory to the fore and shown its implications for financial and other markets. In the process, he has both introduced and used econometric tools to show the relevance of his work to empirically observed phenomena. It is very useful to have his work in collected form.' -- Kenneth J. Arrow, Stanford University, USTable of ContentsContents: Introduction by W. Davis Dechert Introduction and Discussion by William Allen Brock Part I: Stochastic Models Part II: Financial Modelling and Related Macroeconomic Modelling Part III: Ecology, Mechanism Design and Regulation Part IV: Nonlinearity in Economics Index

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Book SynopsisThis two volume set is a comprehensive collection of historical and contemporary articles which highlight the theoretical foundations and the methods and models of long wave analysis. After examining the beginnings of long wave theory, the book includes discussions of time series methods and non-linear modelling, with an exploration of economic development in its historical context. It investigates the process of evolution and mutation in industrial capitalism over the last two hundred years. Contemporary reviews and critiques of long wave theory are also included. It makes available for the first time much important material that has hitherto been inaccessible. The book will be of immense value to all students and scholars interested in the history of economic thought, time series analysis and evolutionary or institutionalist analysis.Table of ContentsContents: Volume I: Introduction Part I: The Pioneers Part II: Times Series Methods Part III: Catastrophe, Chaos and Nonlinear Modelling Index • Volume II: Part I: Cycles, Waves, Swings and Phases: Economic Development in its Historical Context Part II: Overviews Index

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Book SynopsisIn this book, Nancy and Richard Ruggles demonstrate their unique grasp of the measurement and analysis of macro and micro data and elucidate ways of integrating the two data sets.Their analysis of macrodata is used to examine the economic growth of the United States from the 1920s to the present day. They focus particularly on recession and recovery between 1929 and 1974 and the measurement of short-run economic growth. They also examine the measurement of saving, investment and capital formation in the United States. On a microeconomic level, they analyse economic intelligence in World War II, offer a study of fertility in the United States in the pre-war era and analyse longitudinal establishment data. Finally they integrating the two approaches to provide a method of providing a more complete picture of social and economic performance.Trade Review'Richard Ruggles, often assisted by Nancy Ruggles, has been a major contributor to national income accounting and to the empirical study of microeconomics and macroeconomics using that and other data. He has focused on the quantitative analysis of actual economic systems in a discipline increasingly preoccupied with abstract pure conceptual models. Like the work of Simon Kuznets and others, Ruggles's analyses encompass an unusually wide range of variables.' -- Warren J. Samuels, Michigan State University, US'The essays collected in this volume represent pioneering work by Nancy and Richard Ruggles on both the integration of micro and macro accounting data and the development of microdata . . . [They] have wide-ranging implications for modern theories of savings and investment.' -- From the foreword by Edward N. WolffTable of ContentsContents: Preface Part I: Macroanalysis 1. Recession and Recovery in the United States, 1929–74, and Sectoral Saving and Investment Accounts 2. Economic Growth in the Short Run 3. Theoretical Concepts and Empirical Measurement of Saving and Investment 4. Household and Enterprise Saving and Capital Formation in the United States, 1947–91 5. Accounting for Saving and Capital Formation in the United States, 1947–91 Part II: Microanalysis 6. An Empirical Approach to Economic Intelligence in World War II 7. A Study of Differential Fertility Based on Census Data 8. A Strategy for Merging and Matching Microdata Sets 9. Merging Microdata 10. The Analysis of Longitudinal Establishment Data Part III: The Integration of Macro- and Microdata 11. Methodological Developments 12. Macroaccounts and Microdata Sets 13. The Relation of Methodology to the Technology of Economic Research 14. The Role of Microdata in the National Economic Accounts 15. Social Indicators and a Framework for Social and Economic Accounts 16. The Measurement of Economic and Social Performance 17. The Development of Integrated Data Bases for Social, Economic and Demographic Statistics 18. The Integration of Macro- and Microdata for the Household Sector Bibliography Index

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Book SynopsisBusiness analytics has grown to be a key topic in business curricula, and there is a need for stronger quantitative skills and understanding of fundamental concepts. This book is intended to present key concepts related to quantitative analysis in business. It is targeted to business students, undergraduate and graduate, taking an introductory core course. Topics covered include knowledge management, visualization, sampling and hypothesis testing, regression (simple, multiple, and logistic), as well as optimization modeling. It concludes with a brief overview of data mining. Concepts are demonstrated with worked examples.

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Book SynopsisHighly Effective Marketing Analytics infuses analytics into marketing to help improve marketing performance and raise analytics IQ for companies that have not yet had much success with marketing analytics.The book reveals why marketing analytics has not yet kept the promise and clarifies confusions and misunderstanding surrounding marketing analytics. Highly Effective Marketing Analytics is a highly practical and pragmatic how-to book.The author illustrates step by step many innovative, practical, and cost-effective methodologies to solving the most challenging real-world problems facing marketers in today’s highly competitive omnichannel environment.

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Book SynopsisThe convergence of blockchain and Internet of things (IoT) powered by data and artificial intelligence (AI) is on the agenda of several big companies and some of them have already started using its implementations, initiatives, and solutions in various projects. In this book, the author calls the convergence of these three technologies: the blockchain of intelligent things.This book is targeted to help a broad audience, including anyone interested in and responsible for vision, projects, and implementations of blockchain, IoT, and AI in medium-sized companies and large enterprises. This would include business and technology managers, IT professionals, and last but not least, business or technology students, looking to broadening their knowledge and expertise. This book is number two in a series of four books.The first chapters of the book take you from the convergence of blockchain and IoT, via an overview of the most important blockchain of things projects such as IOTA, and the industries, which are heavily being disrupted, into the blockchain of intelligent things, which essentially adds the business value of data science and AI. Further topics you will find in this book include chapters such as required skills, jobs and future, industrial IoT (IIoT) platforms, and opportunities, challenges, and trends of the blockchain of intelligent things. Readers looking for a methodology to engage in blockchain, IoT, and/or AI projects, can find a comprehensive description in my previous book New World Technologies: 2020 and Beyond.

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Book SynopsisThis textbook teaches some of the basic econometric methods and the underlying assumptions behind them. It also includes a simple and concise treatment of more advanced topics in spatial correlation, panel data, limited dependent variables, regression diagnostics, specification testing and time series analysis. Each chapter has a set of theoretical exercises as well as empirical illustrations using real economic applications. These empirical exercises usually replicate a published article using Stata, Eviews as well as SAS.This new sixth edition has been fully revised and updated, and includes new material on limited dependent variables and panel data as well as revision of basic topics like heteroskedasticity, endogeneity, over-identification and specification testing. The author also provides more exercises and empirical examples based on published economic applications.Table of ContentsPart 1: What Is Econometrics?.- Basic Statistical Concepts.- Simple Linear Regression.- Multiple Regression Analysis.- Violations of the Classical Assumptions.- Distributed Lags and Dynamic Models.- Part 2: The General Linear Model: The Basics.- Regression Diagnostics and Specification Tests.- Generalized Least Squares.- Seemingly Unrelated Regressions.- Simultaneous Equations Model.- Pooling Time-Series of Cross-Section Data.- Limited Dependent Variables.- Time-Series Analysis.

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Book SynopsisThis book provides a practical introduction to mathematics for economics using R software. Using R as a basis, this book guides the reader through foundational topics in linear algebra, calculus, and optimization. The book is organized in order of increasing difficulty, beginning with a rudimentary introduction to R and progressing through exercises that require the reader to code their own functions in R. All chapters include applications for topics in economics and econometrics. As fully reproducible book, this volume gives readers the opportunity to learn by doing and develop research skills as they go. As such, it is appropriate for students in economics and econometrics.Table of Contents1. Introduction to R.- 2. Linear Algebra.- 3. Functions of one variable.- 4. Dierential Calculus.- 5. Integral Calculus.- 6. Multivariable Calculus.- 7. Constrained Optimization.- 8. Trigonometry.- 9. Complex numbers.- 10. Difference equations.- 11. Differential equations.

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Book SynopsisThis Open Access Brief presents the KAPSARC Global Energy Macroeconometric Model (KGEMM). KGEMM is a policy analysis tool for examining the impacts of domestic policy measures and global economic and energy shocks on the Kingdom of Saudi Arabia. The model has eight blocks (real sector, fiscal, monetary, external sector, price, labor and wages, energy, population, and age cohorts) that interact with each other to represent the Kingdom’s macroeconomy and energy linkages. It captures New Keynesian demand-side features anchored to medium-run equilibrium and long-run aggregate supply. It applies a cointegration and equilibrium correction modeling (ECM) methodology to time series data to estimate the model’s behavioral equations in the framework of Autometrics, a general-to-specific econometric modeling strategy. Hence, the model combines ‘theory-driven’ approach with ‘data-driven’ approach. The Brief begins with an introduction to the theoretical framework of the model and the KGEMM methodology and then walks the reader through the structure of the model and its behavioral equations. The book closes with simulations showing the application of the model. Providing a detailed introduction to a cutting-edge, robust predictive model, this Brief will be of great use to researchers and policymakers interested in macroeconomics, energy economics, econometrics, and more specifically, the economy of Saudi Arabia.Table of Contents1. Executive Summary.- 2. Literature Review.- 3. Theoretical Framework and Stylized Facts.- 4. KGEMM Methodology.- 5. Database.- 6. A Brief History and Structure of KGEMM.- 7. KGEMM Behavioral Equations and Identities.- 8. KGEMM Simulations.

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Book SynopsisRevised and updated for the second edition, this textbook allows students to work through classic texts in economics and finance, using the original data and replicating their results. In this book, the author rejects the theorem-proof approach as much as possible, and emphasizes the practical application of econometrics. They show with examples how to calculate and interpret the numerical results.This book begins with students estimating simple univariate models, in a step by step fashion, using the popular Stata software system. Students then test for stationarity, while replicating the actual results from hugely influential papers such as those by Granger & Newbold, and Nelson & Plosser. Readers will learn about structural breaks by replicating papers by Perron, and Zivot & Andrews. They then turn to models of conditional volatility, replicating papers by Bollerslev. Students estimate multi-equation models such as vector autoregressions and vector error-correction mechanisms, replicating the results in influential papers by Sims and Granger. Finally, students estimate static and dynamic panel data models, replicating papers by Thompson, and Arellano & Bond.The book contains many worked-out examples, and many data-driven exercises. While intended primarily for graduate students and advanced undergraduates, practitioners will also find the book useful.“How to best start learning time series econometrics? Learning by doing. This is the ethos of this book. What makes this book useful is that it provides numerous worked out examples along with basic concepts. It is a fresh, no-nonsense, practical approach that students will love when they start learning time series econometrics. I recommend this book strongly as a study guide for students who look for hands-on learning experience."--Professor Sokbae "Simon" Lee, Columbia University, Co-Editor of Econometric Theory and Associate Editor of Econometrics Journal. Table of Contents​Introduction.- ARMA(p,q) Processes.- Model Selection in ARMA(p,q) processes.- Stationarity and Invertibility.- Non-stationarity and ARIMA(p,d,q) processes.- Seasonal ARMA(p,q) processe.- Unit root tests.- Structural Breaks.- ARCH, GARCH and Time-varying Variance.- Vector Autoregressions I: Basics.- Vector Autoregressions II: Extensions.- Cointegration and VECMs.- Static Panel Data Models.- Dynamic Panel Data Models.- Conclusion.

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Book SynopsisIntroduction.- ARMA models.- Forecasting stationary processes.- Estimation of Mean and Autocovariance Function.- Estimation of ARMA Models.- Spectral Analysis and Linear Filters.- Integrated Processes.- Models of Volatility.- Multivariate Time series.- Estimation of Covariance Function.- VARMA Processes.- Estimation of VAR Models.- Forecasting with VAR Models.- Interpretation of VAR Models.- Cointegration.- The Kalman Filter.- Appendices.

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Book SynopsisTable of Contents1 Historischer Überblick.- 2 Einführung.- 3 Programmiertechnik.- 4 Angewandte Mathematik.- 5 Finanzmathematik.- 6 Statistik.- 7 Informatik.- Sachwortverzeichnis.- Einkommensteuerberechnung für Österreich.

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Book Synopsis"A reader's first impression on leafing through this book is of the large number of graphs and diagrams, used to illustrate shapes of distributions...and to show real data examples in various ways. A closer reading reveals a nice mix of theory and applications, with the copious graphical illustrations alluded to. Such a mixture is of course dear to the heart of the applied probabilist/statistician, and should impress even the most ardent theorists." --MATHEMATICAL REVIEWSTrade ReviewFrom the reviews: JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION "…excellent, comprehensive treatise on the subject of extremal events modeling. The authors have responded well to the demands of extreme value practitioners for such a text. Although it was clearly and admittedly motivated by practical questions of workers in finance, insurance, and reinsurance, [the book] contains the mathematical rigor and generality that will interest the extreme value theoretician…An understanding of modes of convergence, specifically weak convergence, is essential to fully appreciate the text, but the authors’ intuitive writing style makes most of the basic ideas accessible even to the uninitiated…The authors do an excellent job of organizing these topics and also provide a very useful 20-page ‘Reader Guidelines’ section…[the book] makes an excellent contribution to unifying important concepts in extreme value theory and modeling of extremal events. Aside from its obvious use as a reference for practitioners and theoreticians alike, this text may be used to teach a graduate-level course in mathematical finance or a special topics course in stochastic processes with or without a financial emphasis…As the authors point out this may not be the kind of book that you want to tackle form cover to cover initially, but it is my bet you will eventually discover that you have done just that as you repeatedly reference this hefty volume throughout the years." MATHEMATICAL REVIEWS/MATHSCINET DATABASE "A reader's first impression on leafing through this book is of the large number of graphs and diagrams, used to illustrate shapes of distributions, to plot sample paths of various processes and to show real data examples in various ways. A closer reading reveals a nice mix of theory and applications, with the copious graphical illustrations alluded to. Such a mixture is of course dear to the heart of the applied probabilist/statistician, and should impress even the most ardent theorists with the range of applications of the subject. While there are a number of books available which cover most of the topics herein, I know of none which presents such a range of theory and applications of extremal processes in one volume, at a level easily understood by users of the methodology. I highly recommend the book to all who work in the area, or in related areas. (...) The combination of skills and expertise of the three authors of this book is impressive. Their reading covers not only the traditional and classical works in the area but a great deal of the modern development, too. (They give 646 references to books and articles in the literature.) Their book concludes with copious appendices setting out the basic probability theory and some of the regular variation theory required for understanding the rest of the development. In summary, this is a worthwhile book in an extremely important area." SIAM REVIEWS "(...) This book impresses me as being exceptionally well written, scholarly beyond question, more than a little daunting, and likely to become a classic in its field."KWANTITIEWE METHODEN "The book is the first in the area that strikes a proper balance between mathematical rigor and scope (...) and the statistically-oriented applications for the practitioner."EXTREMES "(...) the indispensable starting point for anyone interested in contemporary applications and extensions of classical EVT." MATHEMATICS TODAY "This is an encyclopedic handbook of theory and statistical praxis, of great value to actuaries and statisticians in the fields concerned, which gives an up to date picture of this fast developing field, and at the same time a useful and well motivated text book for those who need a guide for entering the area without getting lost either in pure theory or messy practice."ASTIN BULLETIN "Given the nature of the subject (...) the book is easy to read.(...) The narrative style is marvellous, invariably connecting theoretical concepts to the real world objects they are supposed to describe, (...)." RISKBOOK.COM "There are a number of texts available on Extreme Value Theory (EVT). This is the essential one to read. It is authoritative and extremely well written…A nice feature of Embrechts et al is an opening 20-page ‘reader guideline’ that gives an overview of the material before the start of the main text." Table of ContentsReader Guidelines.- Risk Theory.- Fluctuations of Sums.- Fluctuations of Maxima.- Fluctuations of Upper Order Statistics.- An Approach to Extremes via Point Processes.- Statistical Methods for Extremal Events.- Time Series Analysis for Heavy-Tailed Processes.- Special Topics.

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Book SynopsisThe Handbook of Financial Time Series, edited by Andersen, Davis, Kreiss and Mikosch, is an impressive collection of survey articles by many of the leading contributors to the ?eld. These articles are mostly very clearly wr- ten and present a sweep of the literature in a coherent pedagogical manner. The level of most of the contributions is mathematically sophisticated, and I imagine many of these chapters will ?nd their way onto graduate reading lists in courses in ?nancial economics and ?nancial econometrics. In reading through these papers, I found many new insights and presentations even in areas that I know well. The book is divided into ?ve broad sections: GARCH-Modeling, Stoch- tic Volatility Modeling, Continuous Time Processes, Cointegration and Unit Roots, and Special Topics. These correspond generally to classes of stoch- tic processes that are applied in various ?nance contexts. However, there are otherthemesthatcutacrosstheseclasses.Thereareseveralpapersthatca- fully articulate the probabilistic structure of these classes, while others are morefocusedonestimation.Stillothersderivepropertiesofextremesforeach class of processes, and evaluate persistence and the extent of long memory. Papers in many cases examine the stability of the process with tools to check for breaks and jumps. Finally there are applications to options, term str- ture, credit derivatives, risk management, microstructure models and other forecasting settings.Trade ReviewFrom the reviews:“Academic researchers and graduate students in statistics, economics and financial engineering, Industry banking, investments and insurance. … The handbook is clearly written and provides a broad and detailed overview of the major topics within financial time series. … serves as a good reference for the financial time series methods and will be invaluable to many researchers. It also excels in giving very clear and concise description of a number of important methodologies.” (Lasse Koskinen, International Statistical Review, Vol. 78 (1), 2010)Table of ContentsRecent Developments in GARCH Modeling.- An Introduction to Univariate GARCH Models.- Stationarity, Mixing, Distributional Properties and Moments of GARCH(p, q)#x2013;Processes.- ARCH(#x221E;) Models and Long Memory Properties.- A Tour in the Asymptotic Theory of GARCH Estimation.- Practical Issues in the Analysis of Univariate GARCH Models.- Semiparametric and Nonparametric ARCH Modeling.- Varying Coefficient GARCH Models.- Extreme Value Theory for GARCH Processes.- Multivariate GARCH Models.- Recent Developments in Stochastic Volatility Modeling.- Stochastic Volatility: Origins and Overview.- Probabilistic Properties of Stochastic Volatility Models.- Moment#x2013;Based Estimation of Stochastic Volatility Models.- Parameter Estimation and Practical Aspects of Modeling Stochastic Volatility.- Stochastic Volatility Models with Long Memory.- Extremes of Stochastic Volatility Models.- Multivariate Stochastic Volatility.- Topics in Continuous Time Processes.- An Overview of Asset–Price Models.- Ornstein–Uhlenbeck Processes and Extensions.- Jump–Type Lévy Processes.- Lévy–Driven Continuous–Time ARMA Processes.- Continuous Time Approximations to GARCH and Stochastic Volatility Models.- Maximum Likelihood and Gaussian Estimation of Continuous Time Models in Finance.- Parametric Inference for Discretely Sampled Stochastic Differential Equations.- Realized Volatility.- Estimating Volatility in the Presence of Market Microstructure Noise: A Review of the Theory and Practical Considerations.- Option Pricing.- An Overview of Interest Rate Theory.- Extremes of Continuous–Time Processes..- Topics in Cointegration and Unit Roots.- Cointegration: Overview and Development.- Time Series with Roots on or Near the Unit Circle.- Fractional Cointegration.- Special Topics – Risk.- Different Kinds of Risk.- Value–at–Risk Models.- Copula–Based Models for Financial Time Series.- Credit Risk Modeling.- Special Topics – Time Series Methods.- Evaluating Volatility and Correlation Forecasts.- Structural Breaks in Financial Time Series.- An Introduction to Regime Switching Time Series Models.- Model Selection.- Nonparametric Modeling in Financial Time Series.- Modelling Financial High Frequency Data Using Point Processes.- Special Topics – Simulation Based Methods.- Resampling and Subsampling for Financial Time Series.- Markov Chain Monte Carlo.- Particle Filtering.

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Book Synopsis"A reader's first impression on leafing through this book is of the large number of graphs and diagrams, used to illustrate shapes of distributions...and to show real data examples in various ways. A closer reading reveals a nice mix of theory and applications, with the copious graphical illustrations alluded to. Such a mixture is of course dear to the heart of the applied probabilist/statistician, and should impress even the most ardent theorists." --MATHEMATICAL REVIEWSTrade ReviewFrom the reviews: JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION "…excellent, comprehensive treatise on the subject of extremal events modeling. The authors have responded well to the demands of extreme value practitioners for such a text. Although it was clearly and admittedly motivated by practical questions of workers in finance, insurance, and reinsurance, [the book] contains the mathematical rigor and generality that will interest the extreme value theoretician…An understanding of modes of convergence, specifically weak convergence, is essential to fully appreciate the text, but the authors’ intuitive writing style makes most of the basic ideas accessible even to the uninitiated…The authors do an excellent job of organizing these topics and also provide a very useful 20-page ‘Reader Guidelines’ section…[the book] makes an excellent contribution to unifying important concepts in extreme value theory and modeling of extremal events. Aside from its obvious use as a reference for practitioners and theoreticians alike, this text may be used to teach a graduate-level course in mathematical finance or a special topics course in stochastic processes with or without a financial emphasis…As the authors point out this may not be the kind of book that you want to tackle form cover to cover initially, but it is my bet you will eventually discover that you have done just that as you repeatedly reference this hefty volume throughout the years." MATHEMATICAL REVIEWS/MATHSCINET DATABASE "A reader's first impression on leafing through this book is of the large number of graphs and diagrams, used to illustrate shapes of distributions, to plot sample paths of various processes and to show real data examples in various ways. A closer reading reveals a nice mix of theory and applications, with the copious graphical illustrations alluded to. Such a mixture is of course dear to the heart of the applied probabilist/statistician, and should impress even the most ardent theorists with the range of applications of the subject. While there are a number of books available which cover most of the topics herein, I know of none which presents such a range of theory and applications of extremal processes in one volume, at a level easily understood by users of the methodology. I highly recommend the book to all who work in the area, or in related areas. (...) The combination of skills and expertise of the three authors of this book is impressive. Their reading covers not only the traditional and classical works in the area but a great deal of the modern development, too. (They give 646 references to books and articles in the literature.) Their book concludes with copious appendices setting out the basic probability theory and some of the regular variation theory required for understanding the rest of the development. In summary, this is a worthwhile book in an extremely important area." SIAM REVIEWS "(...) This book impresses me as being exceptionally well written, scholarly beyond question, more than a little daunting, and likely to become a classic in its field."KWANTITIEWE METHODEN "The book is the first in the area that strikes a proper balance between mathematical rigor and scope (...) and the statistically-oriented applications for the practitioner."EXTREMES "(...) the indispensable starting point for anyone interested in contemporary applications and extensions of classical EVT." MATHEMATICS TODAY "This is an encyclopedic handbook of theory and statistical praxis, of great value to actuaries and statisticians in the fields concerned, which gives an up to date picture of this fast developing field, and at the same time a useful and well motivated text book for those who need a guide for entering the area without getting lost either in pure theory or messy practice."ASTIN BULLETIN "Given the nature of the subject (...) the book is easy to read.(...) The narrative style is marvellous, invariably connecting theoretical concepts to the real world objects they are supposed to describe, (...)." RISKBOOK.COM "There are a number of texts available on Extreme Value Theory (EVT). This is the essential one to read. It is authoritative and extremely well written…A nice feature of Embrechts et al is an opening 20-page ‘reader guideline’ that gives an overview of the material before the start of the main text." Table of ContentsReader Guidelines.- Risk Theory.- Fluctuations of Sums.- Fluctuations of Maxima.- Fluctuations of Upper Order Statistics.- An Approach to Extremes via Point Processes.- Statistical Methods for Extremal Events.- Time Series Analysis for Heavy-Tailed Processes.- Special Topics.

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Book Synopsis„Statistik lernen und verstehen anhand praktischer Problemstellungen“ ist das Leitmotiv, unter dem dieses Buch klassische und moderne Verfahren der Deskriptiven Statistik, Stochastik und Induktiven Statistik anspruchsvoll und verständlich vermittelt. Das „Repetitorium Statistik“ verbindet die Komponenten eines Statistik-Lehr- und Übungsbuches mit denen eines Statistik-Lexikons. Begriffe und Methoden werden komprimiert dargestellt und an zahlreichen praktischen Problemstellungen realdatenbasiert demonstriert sowie ausführlich und anschaulich erläutert. Trade Review“... Geschrieben ist das Buch für Studierende der Wirtschaftswissenschaften sowie Praktiker, eignet sich meiner Meinung nach aber ebenso für Schüler und Studierende anderer Disziplinen als Nachschlagewerk.” (Sandra Fuchs, in: Psychologie FoxBlog, sanfuchs1979.wordpress.com, 17. Mai 2016) Table of ContentsGrundbegriffe.- Verteilungsanalyse.- Korrelationsanalyse.- Regressionsanalyse.- Zeitreihenanalyse.- Indexanalyse.- Bestandsanalyse.- Kombinatorik.- Ereignisse.- Wahrscheinlichkeiten.- Wahrscheinlichkeitsverteilungen.- Stichprobenverfahren.- Schätzverfahren.- Testverfahren.

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Book SynopsisDieses verständliche Einsteigerbuch stellt grundlegend die Theorie der stochastischen Prozesse vor. Nach einem allgemeinen Teil erläutert es die speziellen Klassen stochastischer Prozesse wie Poisson-Prozesse, Markov-Prozesse, Martingale und Brownsche Bewegungen. Detaillierte Beweisführungen sowie zahlreiche Übungsaufgaben mit ausführlichen Lösungen erleichtern das Verständnis, vertiefen und festigen das Gelernte.Table of Contents

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Book Synopsis​Das Buch enthält Fallstudien zur deskriptiven und induktiven Statistik, welche auf die Bachelor-Ausbildung in der Betriebswirtschaft ausgerichtet sind. Für die fachlichen Grundlagen wird auf eine prägnante Liste einschlägiger Werke verwiesen. Ziel der Fallstudien ist es, den gesamten in einer Lehrveranstaltung erlernten Stoff adäquat anzuwenden. Hiermit soll ein fundiertes, nachhaltiges Gesamtverständnis erreicht und die Einübung von Transfers realisiert werden. Den Fallstudien liegen, zum Download vorgehaltene, realistische Datensets in einem Umfang zugrunde, der die Anwendung von Unterstützungssystemen erforderlich macht. Dazu ist die Verwendung von Microsoft Excel vorgesehen. In jeder Fallstudie werden sukzessive Lösungshinweise angeboten, um einen möglichst großen Lerneffekt zu erzielen. Das Lehrbuch richtet sich in erster Linie an Studierende in der Examensvorbereitung und kann auch als Klausurenkurs genutzt werden. Einzelne Fallstudien können aber auch veranstaltungsbegleitend zum Abschluss eines Themenbereiches, wie z. B. der deskriptiven Statistik bearbeitet werden. Table of ContentsEinordnung.- Themengebiete der Fallstudien.- Fallstudie Produktmanagement.- Fallstudie Fernbuslinienunternehmen.- Fallstudie Warendisposition Handelsunternehmen.- Fallstudie Organisationsanalyse Versicherungsdienstleister.- Allgemeine Empfehlungen zur Herangehensweise an Datenstudien.

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Book SynopsisDas dreibändige Lehrbuch „Quantitative BWL“ stellt die theoretischen quantitativen Grundlagen der betrieblichen Entscheidungen und des marktwirtschaftlichen Umfelds dar. Es ist für Studierende der Wirtschaftswissenschaften und des Wirtschaftsingenieurwesens im Bachelor- und Masterprogramm konzipiert. Auch komplexe Inhalte werden durch zahlreiche Beispiele verständlich und anschaulich erklärt. Zu jedem Kapitel gibt es Übungsaufgaben mit Lösungshinweisen. Somit eignet sich das Lehrbuch zur Unterstützung von Vorlesungen, aber auch zum autodidaktischen Lernen.Table of ContentsMarkttheorie.- Investition und Finanzierung.

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Book SynopsisDieses Lehrbuch behandelt weiterführende Verfahren der multivariaten Datenanalyse und ist gezielt auf Master- und Doktoranden-Studiengänge ausgerichtet. Folgende Verfahren werden vorgestellt: - Nichtlineare Regressionsanalyse- Strukturgleichungsanalyse - Konfirmatorische Faktorenanalyse - Auswahlbasierte Conjoint-Analyse- Neuronale Netze - Multidimensionale Skalierung (MDS) - Korrespondenzanalyse. Zum Verständnis sind geringstmögliche mathematische Vorkenntnisse erforderlich und jedes Kapitel kann für sich eigenständig gelesen werden. Nach der intuitiven Erläuterung der Vorgehensweise der einzelnen Verfahren werden diese mit Hilfe eines ausführlichen Fallbeispiels sowie unter Verwendung der Statistik-Software IBM SPSS und teilweise auch mit MS Excel und der Conjoint-Software von Sawtooth sowie AMOS gerechnet und interpretiert. Dabei wurde Wert darauf gelegt, dass alle Rechenschritte für den Anwender nachvollziehbar sind, und es werden Anwendungsempfehlungen gegeben. Auf der Internetseite multivariate.de bieten wir weitere Serviceleistungen. Von Dozenten können u. a. die Abbildungen angefordert werden.Die hier dargestellten Verfahren waren bis 2011 Bestandteil des Lehrbuchs Multivariate Analysemethoden. Dort werden die vor allem für das Bachelor-Studium zentralen Verfahren der Regressions-, Zeitreihen-, Varianz-, Diskriminanz-, logistischen Regressions-, Kontingenz-, Faktoren-, Cluster- und Conjoint-Analyse behandelt. Das bereits in der 14. Auflage vorliegende Buch Multivariate Analysemethoden der Autoren wurde im Jahr 2015 anlässlich des 50. Kongresses der Deutschen Marktforschung des BVM Berufsverband Deutscher Markt- und Sozialforscher e. V. mit dem Preis der Deutschen Marktforschung ausgezeichnet, weil es die deutsche Marktforschungspraxis in den letzten Jahrzehnten nachhaltig geprägt hat.In der 3. Auflage des Werks Fortgeschrittene Multivariate Analysemethoden wurden alle Kapitel überarbeitet und die vorgestellten Verfahren mit den aktuellen Versionen von IBM SPSS, AMOS sowie Sawtooth gerechnet.Table of ContentsNichtlineare Regression.- Strukturgleichungsanalyse.- Konfirmatorische Faktorenanalyse.- Auswahlbasierte Conjoint-Analyse.- Neuronale Netze.- Multidimensionale Skalierung.- Korrespondenzanalyse.

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Book Synopsis

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Book Synopsis

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Book SynopsisThe book entitles "Basic Concepts in Statistics" is useful to all the P.G. and Ph.D. students and faculty members of statistics, agricultural statistics and engineering, social sciences and biological sciences. It is also useful to all those students who have to appear in competitive examinations with statistics as a subject in state P.S.C's, U.P.S.C., A.S.R.B. and I.S.S. etc. This book is the outcome of 25 years of teaching experiences to U.G., P.G. and Ph.D. students. The book contains 15 s covering different topics of statistics e.g. Analysis of variance, Designs of experiments, Theories of points and interval estimations, Theories of tests of significance based on small samples n<=30 and large samples n>30 and non parametric methods and tests.Table of ContentsSection A: Design of Experiments: 01. Preliminaries 02. ANOVA & Three Basic Design of Experiments 03. Incomplete Block Design IBD 04. Factorial Experiment 05. Split Plot Experiment 06. Strip Plot Design/Split Block Design 07. Progeny Row Trial and Compact Family Block Design 08. Analysis of Covariance Section B: Sampling Distribution and Associated Test of Significance: 09. Tests Based on Large Sample 10. x2 Distribution and Its Applications 11. F and 't' Distributions and Their Applications Section C: Statistics Inference: 12. Estimation Theory 13. Methods of Estimation 14. Theory of Testing of Hypothesis 15. Non Parametric Method of Estimation

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Book SynopsisSpatial econometrics deals with spatial dependence and spatial heterogeneity, critical aspects of the data used by regional scientists. These characteristics may cause standard econometric techniques to become inappropriate. In this book, I combine several recent research results to construct a comprehensive approach to the incorporation of spatial effects in econometrics. My primary focus is to demonstrate how these spatial effects can be considered as special cases of general frameworks in standard econometrics, and to outline how they necessitate a separate set of methods and techniques, encompassed within the field of spatial econometrics. My viewpoint differs from that taken in the discussion of spatial autocorrelation in spatial statistics - e.g., most recently by Cliff and Ord (1981) and Upton and Fingleton (1985) - in that I am mostly concerned with the relevance of spatial effects on model specification, estimation and other inference, in what I caIl a model-driven approach, as opposed to a data-driven approach in spatial statistics. I attempt to combine a rigorous econometric perspective with a comprehensive treatment of methodological issues in spatial analysis.Trade Review`This book is a very useful and significant contribution to the spatial analysis literature ... I for one will be using it as required supplemental reading in my graduate level spatial statistics course.' Economic Geography, 1989.Table of Contents1: Introduction.- 2: The Scope of Spatial Econometrics.- 3: The Formal Expression of Spatial Effects.- 4: A Typology of Spatial Econometric Models.- 5: Spatial Stochastic Processes: Terminology and General Properties.- 6: The Maximum Likelihood Approach to Spatial Process Models.- 7: Alternative Approaches to Inference in Spatial Process Models.- 8: Spatial Dependence in Regression Error Terms.- 9: Spatial Heterogeneity.- 10: Models in Space and Time.- 11: Problem Areas in Estimation and Testing for Spatial Process Models.- 12: Operational Issues and Empirical Applications.- 13: Model Validation and Specification Tests in Spatial Econometric Models.- 14: Model Selection in Spatial Econometric Models.- 15: Conclusions.- References.

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Book SynopsisThis is the sixty-fourth issue of National Accounts Statistics: Main Aggregates and Detailed Tables, showing detailed national accounts estimates for 210 countries and areas for the reporting years 2011 to 2022. The national data for each country and area are presented in separate chapters using uniform table headings and classifications recommended in the United Nations System of National Accounts (SNA). A summary of the conceptual framework of the SNA and definitions of important terms are also included in this publication. Other statistical information covered includes gross domestic product, national income, savings, private and government consumption, and transactions of institutional sectors

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Book SynopsisThe Yearbook series is a result of collaborative efforts by major African regional organizations to set up a joint data collection mechanism of socioeconomic data on African countries, as well as the development of a harmonized database. It seeks to promote wider use of country data, reduce costs, significantly improve the availability and quality of the data, and lead to better monitoring of development initiatives on the continent. The data in this issue of the Yearbook are arranged generally for the years 2006-2014, or for the last eight years for which data are available. It is published in a single volume consisting of two parts: a set of summary tables followed by country profiles.

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Book SynopsisThe Statistical Yearbook is an annual compilation of a wide range of international economic, social and environmental statistics on over 200 countries and areas, compiled from sources including UN agencies and other international, national and specialized organizations. The 58th edition contains data available to the Statistics Division as of 31 December 2014 and presents them in 42 tables on topics such as: agriculture, forestry and fishing; communication; development assistance; education; energy; environment; finance; gender; international merchandise trade; international tourism; labour force; manufacturing; national accounts; population; prices; and science and technology. The number of years of data shown in the tables varies from one to ten, with most tables covering the period up to 2012 or 2013. Accompanying the tables are technical notes providing brief descriptions of major statistical concepts, definitions and classifications

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Book SynopsisThe United Nations Conference on Trade and Development (UNCTAD) is a founding member of the Partnership on Measuring ICT for Development, which is an international, multi-stakeholder initiative to improve the availability and quality of ICT data and indicators. One of its key achievements is the development of a core list of ICT indicators for the production of internationally comparable statistics. This list was first endorsed by the United Nations Statistical Commission at its 38th session in March 2007 and has since been updated regularly. The Commission encouraged countries to use that list in their data collection programmes; a first version of the Manual for the Production of Statistics on the Information Economy was published at the end of 2007. An updated version was published in 2009. The current edition, entitled Manual for the Production of Statistics on the Digital Economy, was prepared to reflect the many changes that have taken place in the past decade in terms of access and use of ICTs. Compared to earlier versions, it expands the coverage of the measurement of e-commerce, trade in ICT services and trade in ICT-enabled (or digitally delivered) services. It contains more model questionnaires and reflects the most recent revisions of the Partnership's list of core ICT indicators. The Manual is intended to guide statisticians from developing countries through all the steps involved in the production and dissemination of statistics related to e-commerce and the digital economy

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Book SynopsisThis report analyses trends as well as data availability for monitoring progress toward the Sustainable Development Goals (SDGs) in Asia and the Pacific and its five subregions. It assesses gaps which must be closed to achieve the goals by 2030. This assessment is designed to ensure the region's actions remain on target, shortcomings are addressed as they arise, and all interested parties remain engaged. It is an invaluable resource for all stakeholders involved in prioritization, planning, implementation and follow-up of the 2030 Agenda for Sustainable Development in Asia and the Pacific.

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Book SynopsisThe Statistical Yearbook for Latin America and the Caribbean seeks to respond to the demands of users who require reliable and sound statistical information in order to analyse the economic, social and environmental situation of the region

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Book SynopsisThe Yearbook series is a result of joint efforts by major African regional organizations to set up a joint data collection mechanism of socioeconomic data on African countries as well as the development of a common harmonized database. This Yearbook is meant to break with the practices of the past where each regional/subregional organization was publishing statistical data on African countries of the continent in an inefficient way, leading to duplication of efforts, inefficient use of scarce resources, increased burden on countries and sending different signals to users involved in tracking development efforts on the continent

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Book SynopsisThe National Accounts Studies of the ESCWA Region presents available data and ESCWA estimates of GDP at both current and constant prices, in addition to the consolidated national accounts for each ESCWA member country during a five years period, and the estimated real GDP growth for year of publication. Data is compiled from national statistical sources and by using questionnaires prepared by ESCWA. This publication is intended for economists, social researchers and planners. The publication is a reference for accurate, reliable data and statistical indicators from national sources covering entire Arab region and intended to the public and private sectors, experts and researchers in the field and regional and international organizations.

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Book SynopsisThis publication contains detailed official national accounts data for over 200 countries or areas of the World for the years 2001 to 2013. It is a valuable source of information on the state and structure of economies worldwide. The data for each country or area are presented in separate chapters with uniform table headings and classifications as recommended in the System of National Accounts 1993 (1993 SNA). Each country chapter also contains a write-up on the methodology and data sources which are used to compile the national accounts. A summary of the SNA conceptual framework, classifications, and definitions is also. It also contains statistics on gross domestic product.

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Book SynopsisThis publication contains detailed tables showing international trade for 258 individual commodities (3-digit SITC groups) and eleven world trade tables covering trade values and indices up to the year 2013. The information contained is based on data provided by approximately 175 countries (areas), representing more than 90% of world trade of 2013. The publication is aimed at both specialist trade data users and common audience at large. The presented data, charts and analyses will benefit policy makers, government agencies, non-government organizations, civil society organizations, journalists, academics, researchers, students, businesses and anyone who is interested in trade issues. The information and analyses are presented in a way which can be comprehended by non-expert users of statistics.

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