Econometrics and economic statistics Books
United Nations 2013 electricity profiles
Book SynopsisThe latest edition of Electricity Profiles contains comprehensive electricity profiles for about 200 countries and territories around the world, providing detailed information on production, trade and consumption of electricity, net installed capacity and thermal power plant input and efficiency for most countries.
£999.99
United Nations Handbook on civil registration and vital
Book SynopsisAcquiring knowledge of the size and characteristics of a country's population on a timely basis is a prerequisite to socioeconomic planning and informed decision making. Vital statistics and their subsequent analysis and interpretation are essential for setting targets and evaluating social and economic plans, including the monitoring of health and population intervention programmes, and the measurement of important demographic indicators of levels of living or quality of life, such as the expectation of life at birth and the infant mortality rate. Vital statistics can be produced solely from a full-functioning civil registration system as the only source able to ensure universal coverage and provide timely and continuous data. This Handbook offers background, specifications and practical examples for the improvement and/or establishment of civil registration, vital statistics and identity management systems. It presents model organizational and legal arrangements, as well as ideal descriptions, processes and protocols that are considered the gold standard
£44.00
United Nations National accounts statistics 2018: main
Book SynopsisThis publication, the 60th issue of National Accounts Statistics: Main Aggregates and Detailed Tables, contains detailed official national accounts data for over 200 countries or areas of the World for the years 2007 to 2018. 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, definitions, is also included in the publication. Other statistical information covered includes gross domestic product, national income, savings, private and government consumption, and transactions of institutional sectors.
£334.50
United Nations National accounts statistics: analysis of main
Book SynopsisThis publication comprises analytical tables of national accounting aggregates for more than 200 countries and areas, for 1970-2019. It contains estimation methods for compiling data. Tables include analysis of data on GDP by structural components, classified into: 1) analysis of level and real growth of total and per capita GDP; 2) analysis of percentage shares of GDP by type of expenditure and gross value by economic activity; 3) analysis of economic development expressed in terms of real growth of GDP and its components by type of value, and 4) analysis of price development reflected by implicit price deflators of GDP.
£79.20
United Nations National accounts statistics 2019: main
Book SynopsisThis publication shows detailed national accounts estimates for over 200 countries and areas for the reporting years 2008 to 2019. 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 sector
£371.25
United Nations Statistical yearbook 2021: sixty-fourth issue
Book SynopsisThe Statistical Yearbook provides a comprehensive compilation of internationally available statistics on social and economic conditions and activities, at world, regional and national levels, for an appropriate historical period. Most of the statistics presented in the Yearbook are extracted from more detailed, specialized databases prepared by the Statistics Division and by many other international statistical services. Thus, while the specialized databases concentrate on monitoring topics and trends in particular social and economic fields, the Statistical Yearbook tables aim to provide data for a more comprehensive, overall description of social and economic structures, conditions, changes and activities. The objective has been to collect, systematize, coordinate and present in a consistent way the most essential components of comparable statistical information which can give a broad picture of social and economic processes
£139.20
United Nations National accounts statistics: analysis of main
Book SynopsisThe National Accounts Statistics: Analysis of Main Aggregates 2021 comprises in the form of analytical tables a summary of the principal national accounting aggregates based on official national accounts data for more than 200 countries and areas, covering the period 1970-2021. It also contains a section on the estimation methods used for compiling data, and is prepared by the Statistics Division of the Department of Economic and Social Affairs of the United Nations in cooperation with national statistical offices. Tables include analysis of data on gross domestic product (GDP) by different structural components. They are classified into: 1) analysis of the level and real growth of total and per capita GDP; 2) analysis of the percentage share of GDP by type of expenditure and gross value added by kind of economic activity; 3) analysis of economic development expressed in terms of real growth of GDP and its components by type of expenditure and gross value added by kind of economic activity; and 4) analysis of price development reflected by implicit price deflators of GDP
£87.20
United Nations Statistical yearbook 2022: sixty-fifth issue
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 2022 edition contains data available to the Statistics Division as of 31 July 2022 and presents them in 33 tables on topics such as: communication; crime; development assistance; education; energy; environment; finance; gender; international merchandise trade; international tourism; labour force; national accounts; population and migration; price and production indices; and science and technology. Most tables covering the period up to 2022. Accompanying the tables are technical notes providing brief descriptions of major statistical concepts, definitions and classifications
£139.20
United Nations 2020 energy balances
Book SynopsisThe Energy Balances 2020 presents energy data for countries and areas in a format which shows the overall picture of the production, trade, transformation and consumption of energy products utilized in the region, published by the United Nations Statistics Division (UNSD). Such a format is useful in assessing and analysing supply and consumption patterns across both products and countries in detail on an internationally comparable basis
£79.20
United Nations State of commodity dependence 2023
Book SynopsisA country is export commodity-dependent (from now on 'commodity dependent') when its exports are heavily concentrated on primary commodities. The source of commodity dependence can be linked to different persistent or even structural conditions of a country such as its resource endowment and factor composition, institutionality, geographic situation, history and others. In this document, we follow past UNCTAD practice by considering UNCTAD member States to be commodity dependent if more than 60 per cent of its merchandise export value comes from commodities. It is important to monitor and analyze the evolution of commodity dependence, as the latter can have negative implications for a country's welfare and development. This document is divided into two parts. The first one is dedicated to identifying and characterizing commodity-dependent countries, as well as discussing the recent evolution of commodity prices, commodity export value and the net asset position of these countries. The second part is dedicated to country-specific commodity dependence profiles that also include important economic and social statistics
£72.25
New India Publishing Agency Statistical Designs and Analysis for Agricultural
Book Synopsis
£22.76
New India Publishing Agency Agricultural Statistics: A Guide for Competitive
Book Synopsis
£40.70
New India Publishing Agency Statistical Designs and Analysis for Agricultural Field Experiments
Book SynopsisThe book is written in easy to understand language, in short paragraphs and is fully supported by adequate examples. The book consists of 11 s.Table of Contents01. Some Statistical Results and Completely Randomised Design (CRD) 02. Randomised Complete Block Design (RCBD) 03. Factorial Experiments 04. Split-Plot Design 05. Split-Split Plot Design 06. Latin Square Design (LSD) 07. Incomplete Block Designs for Plant Breeding Trials 08. Transformation of Data 09. Series of Experiments 10. Analysis of Co-Variance 11. Long Term Experiments
£42.31
New India Publishing Agency Applied Statistical Techniques
Book SynopsisThe book is a reference book useful for undergraduates, postgraduates and research scholars of biological, ecological and medical sciences. The purpose of writing this book is to provide an accessible reference book on statistical techniques whose proper use will help students in withdrawing accurate results and able to interpret them logically. The methods described in this book are, of course, the same as those used in different disciplines, but things are made so user's friendly that even general readers will find this book useful. The s of the book have been organized in such a way that suits the course curriculum of various universities. In this book enough materials are provided to cover statistical techniques with examples which are ecological and biological based.Table of Contents1. Introduction to Statistics 2. Organisation of Data 3. Data Transformation 4. Descriptive Statistics: Measurement of Central Tendency 5. Descriptive Statistics: Measures of Dispersion 6. Descriptive Statistics: Data Distributions 7. Inferential Statistics: Confidence Intervals 8 Inferential Statistics: Parametric Tests of Significance 9 Inferential Statistics: Non-Parametric Tests of Significance 10 Inferential Statistics: Correlation and Regression 11 Presentation of Data 12 Choosing A Statistical Test
£86.49
New India Publishing Agency Statistical Methods
Book Synopsis
£107.38
New India Publishing Agency Statistics and Computers for Animal and
Book Synopsis
£107.38
New India Publishing Agency Theory Sample Surveys and Statistical Decisions:
Book Synopsis
£186.16
Springer Verlag, Singapore The Mahalanobis Growth Model: A Macrodynamics
Book SynopsisThis book provides an analytical and computational approach to solving and simulating the Mahalanobis model and the papers surrounding it. The book comes up, perhaps for the first time, with a holistic examination of an important growth model that emerged out of India in the 1950s. It contains detailed derivations of the Mahalanobis model and the several critiques and extensions surrounding it with an organized synthesis of the main results. Computationally, the book simulates the model and its many variants, thus making it accessible to a wider audience. Advanced undergraduates and beginning graduate students in the fields of Economics, Mathematics, and Statistics will gain immensely from understanding both the mathematical aspects as well as the computational aspects of the Mahalanobis model. In the absence of a single 'go-to' source on all aspects of the model -- analytical and computational -- this book is a definitive volume on the Mahalanobis model that has all the derivations of all the papers surrounding the model, its dissents and critiques, and extensions as in the wage goods model suggested by Vakil and Brahmananda. Trade Review“The book The Mahalanobis Growth Model: A Macrodynamics Approach by Ghate, Gopalakrishnan, and Grover (G3) is a labor of love, a fitting intellectual tribute to PCM’s growth models, which too were labors of love designed to concretize ideals of development planning for India’s Five-Year Plans. … Indian economics undergraduates will read this book, work through the math, digest the economic intuition, and come away with a sense of awe for PCM. They will come to appreciate … .” (Joydeep Bhattacharya, Indian Economic Review, Vol. 58 (1), 2023)Table of ContentsChapter 1: Overview of the 2 Sector Mahalanobis Model- Simulations in Matlab Chapter 2: Critiques of the 2 Sector Mahalanobis Model - The Bronfenbrenner Critique - The Ezekiel Critique - The Bettelheim Critique - The JBS Haldane Critique - The Raj and Sen Model - Simulations in Matlab Chapter 3: A Stochastic Version of the 2 Sector Mahalanobis Model - Outline of the Model - Simulations in Matlab Chapter 4: Open Economy Extensions of the 2-sector Mahalanobis Model - The Harris Model - The Ezekiel Model - Simulations in Matlab Chapter 5: Overview of the 4 Sector Mahalanobis Model - Simulations in Matlab Chapter 6: Critiques of the 4 Sector Mahalanobis Model - The Komiya Critique - Observations by Tsuru - The Shenoy Dissent - Simulations in Matlab Chapter 7: The Wage Good Model - An Analytical Framework – The Brahmananda and Vakil Model – by MJ Manohar Rao - Simulations in Matlab
£52.24
Springer Verlag, Singapore Macroeconometric Methods: Applications to the
Book SynopsisThis book provides empirical applications of macroeconometric methods through discussions on key issues in the Indian economy. It deals with issues of topical relevance in the arena of macroeconomics. The aim is to apply time series and financial econometric methods to macroeconomic issues of an emerging economy such as India. The data sources are given in each chapter, and students and researchers may replicate the analyses.The book is divided into three parts—Part I: Macroeconomic Modelling and Policy; Part II: Forecasting the Indian Economy and Part III: Business Cycles and Global Crises. It provides a holistic understanding of the techniques with each chapter delving into a relevant issue analysed using appropriate methods—Chapter 1: Introduction; Chapter 2: Macroeconomic Modelling and Bayesian Methods; Chapter 3: Monetary Policy Framework in India; Chapter 4: Determinants of Yields on Government Securities in India; Chapter 5: Monetar y Transmission in the Indian Economy; Chapter 6: India’s Bilateral Export Growth and Exchange Rate Volatility: A Panel GMM Approach; Chapter 7: Aggregate and Sectoral Productivity Growth in the Indian Economy: Analysis and Determinants; Chapter 8: Forecasting the INR/USD Exchange Rate: A BVAR Framework; Chapter 9: Forecasting India’s Inflation in a Data-Rich Environment: A FAVAR Study; Chapter 10: A Structural Macroeconometric Model for India; Chapter 11: International Synchronization of Growth Rate Cycles: An Analysis in Frequency Domain; Chapter 12: Inter-Linkages Between Asian and U.S. Stock Market Returns: A Multivariate GARCH Analysis; Chapter 13: The Increasing Synchronization of International Recessions.Since the selection of issues is from macroeconomic aspects of the Indian economy, the book has wide applications and is useful for students and researchers of fields such as applied econometrics, time series econometrics, financial econometrics, forecasting methods and macroeconomics.Table of ContentsChapter 1: IntroductionPart I: Macroeconomic Modelling and Policy Chapter 2: Macroeconomic Modelling and Bayesian MethodsChapter 3: Monetary Policy Framework in India Chapter 4: Determinants of Yields on Government Securities in India Chapter 5: Monetary Transmission in the Indian Economy Chapter 6: India’s Bi-lateral Export Growth and Exchange Rate Volatility: A Panel GMM Approach Chapter 7: Aggregate and Sectoral Productivity in the Indian Economy: Analysis and Determinants Part II: Forecasting the Indian Economy Chapter 7: Forecasting the INR/USD Exchange Rate: A BVAR Framework Chapter 8: Forecasting India’s Inflation in a Data Rich Environment: A FAVAR Study Chapter 9: A Structural Macroeconometric Model for India Part III: Business Cycles and Global Crises Chapter 10: International Synchronization of Growth Rate Cycles: An Analysis in Frequency Domain Chapter 11: Inter-linkages between Asian and U.S. Stock Market Returns: A Multivariate GARCH Analysis Chapter 12: The Increasing Synchronization of International Recessions
£85.49
Independently Published Introductory Business Statistics 2e (hardcover, full color)
£50.39
Pearson Estadistica 10th Edition Spanish Edition
Book Synopsis
£144.60
Oxford University Press LikelihoodBased Inference in Cointegrated Vector Autoregressive Models
Book SynopsisThis book gives a detailed mathematical and statistical analysis of the cointegrated vector autoregresive model. This model had gained popularity because it can at the same time capture the short-run dynamic properties as well as the long-run equilibrium behaviour of many non-stationary time series. It also allows relevant economic questions to be formulated in a consistent statistical framework.Part I of the book is planned so that it can be used by those who want to apply the methods without going into too much detail about the probability theory. The main emphasis is on the derivation of estimators and test statistics through a consistent use of the Guassian likelihood function. It is shown that many different models can be formulated within the framework of the autoregressive model and the interpretation of these models is discussed in detail. In particular, models involving restrictions on the cointegration vectors and the adjustment coefficients are discussed, as well as the role
£66.50
Taylor & Francis Ltd Practical Spreadsheet Modeling Using Risk
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£114.00
Taylor & Francis Ltd Introduction to Time Series Modeling with Applications in R Chapman HallCRC Monographs on Statistics and Applied Probability
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£114.00
Taylor & Francis Economic Analysis and Public Enterprises 14 Routledge Library Editions Public Enterprise and Privatization
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£82.64
Taylor & Francis Economic Analysis and Public Enterprises Routledge Library Editions Public Enterprise and Privatization
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£29.99
Taylor & Francis Ltd An Introduction to Financial Mathematics
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£105.00
Taylor & Francis Ltd Learning Microeconometrics with R Chapman HallCRC The R Series
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£80.74
Taylor & Francis Ltd An Introduction to Economic Dynamics
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£43.69
Taylor & Francis Basic Quantitative Research Methods for Urban Planners
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Taylor & Francis Ltd Statistical Programming in SAS
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Taylor & Francis Ltd Statistical Programming in SAS
Book SynopsisStatistical Programming in SAS Second Edition provides a foundation for programming to implement statistical solutions using SAS, a system that has been used to solve data analytic problems for more than 40 years. The author includes motivating examples to inspire readers to generate programming solutions. Upper-level undergraduates, beginning graduate students, and professionals involved in generating programming solutions for data-analytic problems will benefit from this book. The ideal background for a reader is some background in regression modeling and introductory experience with computer programming.The coverage of statistical programming in the second edition includes Getting data into the SAS system, engineering new features, and formatting variables Writing readable and well-documented code Structuring, implementing, and debugging programs that are well documented Creating solutions to novel problems Combining dataTrade Review"This book is useful for people who want to learn SAS programing, and assumes the students have knowledge of multiple linear regression and one-way ANOVA models.…The second edition has added a chapter on text processing, and reorganized the chapter order…Some topics that are relevant for the SAS Base and Certifications exams are covered, and a nice feature is the highlighting of programing tips in gray." ~Technometrics"This is a very complete book for programming SAS in statistical analyses. This second edition offers the possibility to debug some programs and provides new examples and applications, which are very useful. This book is a very useful companion tool for students or beginners in SAS, or for more experienced statisticians who already use SAS for statistical analyses."~ISCB NewsTable of ContentsContentsPreface ..............................................................................................................................................ixAcknowledgments ...................................................................................................................... xiiiAuthor .............................................................................................................................................xv1. Structuring, Implementing, and Debugging Programs to Learn about Data ...........11.1 Statistical Programming ................................................................................................11.2 Learning from Constructed, Artificial Data ...............................................................2Processing a Particular Data Set—Extracting Variable Names from aColumn of an Input Data Set.........................................................................................2Learning More about Unfamiliar Statistical Methods—Linear MixedEffects Models .................................................................................................................5Improving Your Intuition about Statistical Theory— Sampling Distributionof Means ...........................................................................................................................81.3 Good Programming Practice ...................................................................................... 11Document Your Programs! .......................................................................................... 11Use Meaningful Variable Names ................................................................................ 13Use a Variety of CaSeS in Program Statements ........................................................ 14Indent Program Statements That Naturally Go Together ....................................... 141.4 SAS Program Structure ................................................................................................ 151.5 What Is a SAS Data Set? ............................................................................................... 211.6 Internally Documenting SAS Programs ....................................................................221.7 Basic Debugging ...........................................................................................................231.8 Getting Help ..................................................................................................................27Using Help in SAS ........................................................................................................27Getting Help from a Web Browser Search .................................................................291.9 Exercises .........................................................................................................................292. Reading, Creating, and Formatting Data Sets ................................................................ 312.1 What Does a SAS DATA Step Do? .............................................................................. 312.2 Reading Data from External Files ..............................................................................33Reading Data Directly as Part of a Program—Anyone for Datalines? .................34Reading Data Sets Saved as Text—INFILE Can Be Your Friend (PROCIMPORT Too!) ................................................................................................................38Sometimes, Variables Are in Particular Columns or in Particular Formats .........402.3 Reading CSV, Excel, and TEXT Files .......................................................................... 412.4 Temporary versus Permanent Status of Data Sets ...................................................432.5 Formatting and Labeling Variables ............................................................................46Using Formats to Read and Display Variable Values ..............................................46Internal Representations and Output Displays ........................................................49Character, Numeric, Time, and Date Formats ..........................................................532.6 User-Defined Formatting .............................................................................................58Saving Formats for Later Use ......................................................................................632.7 Recoding and Transforming Variables in a DATA Step ........................................66Indicator Variables ......................................................................................................682.8 Writing Out a File or Making a Simple Report ......................................................73Simple Report Generation .........................................................................................73Exporting a File ...........................................................................................................772.9 Exercises .......................................................................................................................803. Programming a DATA Step ................................................................................................833.1 Writing Programs by Subdividing Tasks ................................................................83Estimate the Probability That a Randomly Selected 30- to 39-Year-OldMale Is Taller than a Randomly Selected Female of the Same Age .....................83Conditional Execution ...........................................................................................84Looping to Repeat a Task ......................................................................................86Returning to the Height Probability Simulation ............................................... 873.2 Ordering How Tasks Are Done ................................................................................90Missing Data in Functions .........................................................................................923.3 Indexable Lists of Variables (Also Known as Arrays) ...........................................93Defining Values in the Variable List .........................................................................93Inputting Values in the Variable List ........................................................................94Reassign Missing Value Codes for Numeric Variables “.” ...................................95Recoding Missing Values for All Numeric and Character Variables ..................953.4 Functions Associated with Statistical Distributions .............................................963.5 Generating Variables Using Random Number Generators ................................ 1023.6 Remembering Variable Values across Observations ........................................... 105Processing Multiple Observations for a Single Observation .............................. 1063.7 Case Study 1: Is the Two-Sample t-Test Robust to Violations of theHeterogeneous Variance Assumption? ................................................................. 109Case Study 1 (Revisited with DATA Step Programming) .................................. 1183.8 Efficiency Considerations—How Long Does It Take? .........................................1223.9 Case Study 2: Monte Carlo Integration to Estimate an Integral ........................ 1233.10 Case Study 3: Simple Percentile-Based Bootstrap ................................................ 1283.11 Case Study 4: Randomization Test for the Equality of Two Populations ......... 1303.12 Exercises ..................................................................................................................... 1344. Combining, Extracting, and Reshaping Data ............................................................... 1374.1 Adding Observations by SET-ing Data Sets.......................................................... 1374.2 Adding Variables by MERGE-ing Data Sets ......................................................... 1404.3 Working with Tables in PROC SQL ....................................................................... 1484.4 Converting Wide to Long Formats ......................................................................... 1614.5 Converting Long to Wide Formats ......................................................................... 1644.6 Case Study: Reshaping a World Bank Data Set .................................................... 1664.7 Building Training and Validation Data Sets ......................................................... 1754.8 Exercises ..................................................................................................................... 1794.9 Self-study Lab ............................................................................................................ 1805. Macro Programming .......................................................................................................... 1915.1 What Is a Macro and Why Would You Use It? ..................................................... 1915.2 Motivation for Macros: Numerical Integration to DetermineP(0 < Z < 1.645) ......................................................................................................... 1915.3 Processing Macros .................................................................................................... 1955.4 Macro Variables, Parameters, and Functions........................................................ 1955.5 Conditional Execution, Looping, and Macros ...................................................... 198More Complicated Macro Variable Construction ................................................203Changing Locations in a Macro during Execution ..............................................2045.6 Debugging Macro Code and Programs.................................................................206Write Out Values of Macro Variables .....................................................................206Useful SAS Options for Debugging Macros ......................................................... 2075.7 Saving Macros ........................................................................................................... 2115.8 Functions and Routines for Macros ....................................................................... 2115.9 Case Study: Macro for Constructing Training and Test Data Set for ModelComparison ............................................................................................................... 2165.10 Case Study: Processing Multiple Data Sets ...........................................................2235.11 Exercises .....................................................................................................................2276. Customizing Output and Generating Data Visualizations .......................................2296.1 Using the Output Delivery System ........................................................................229Basic Ideas ..................................................................................................................229Destinations—RTF, HTML, PDF, and More! .........................................................230What’s Produced and How to Select It ..................................................................235Another Destination That Stat Programmers Should Visit—OUTPUT ............ 2436.2 Graphics in SAS ......................................................................................................... 2496.3 ODS Statistical Graphics ..........................................................................................2506.4 Modifying Graphics Using the ODS Graphics Editor ......................................... 2576.5 Graphing with Styles and Templates .....................................................................2606.6 Statistical Graphics—Entering the Land of SG Procedures ............................... 266SGPLOT ...................................................................................................................... 266SGPANEL ................................................................................................................... 269SGSCATTER .............................................................................................................. 2716.7 Case Study: Using the SG Procedures ................................................................... 2736.8 Enhancing SG Displays—Options with SG Procedure Statements .................. 2796.9 Using Annotate Data Sets to Enhance SG Displays ............................................2846.10 Using Attribute Maps to Enhance SG Displays ................................................... 2876.11 Exercises .....................................................................................................................2907. Processing Text .................................................................................................................... 2937.1 Cleaning and Processing Text Data ....................................................................... 2937.2 Starting with Character Functions ......................................................................... 2937.3 Processing Text .......................................................................................................... 2987.4 Case Study: Sentiment in State of the Union Addresses .....................................3027.5 Case Study: Reading Text from a Web Page .........................................................3097.6 Regular Expressions ................................................................................................. 3157.7 Case Study (Revisited)—Applying Regular Expressions ................................... 3197.8 Exercises ..................................................................................................................... 3218. Programming with Matrices and Vectors ..................................................................... 3238.1 Defining a Matrix and Subscripting ...................................................................... 3238.2 Using Diagonal Matrices and Stacking Matrices ................................................. 3298.3 Using Elementwise Operations, Repeating, and Multiplying Matrices ........... 3328.4 Importing a Data Set into SAS/IML and Exporting Matrices fromSAS/IML to a Data Set .............................................................................................333Creating Matrices from SAS Data Sets and Vice Versa ........................................3338.5 Case Study 1: Monte Carlo Integration to Estimate π ..........................................3368.6 Case Study 2: Bisection Root Finder ...................................................................... 3378.7 Case Study 3: Randomization Test Using Matrices Imported from PROCPLAN ..........................................................................................................................3408.8 Case Study 4: SAS/IML Module to Implement Monte Carlo Integrationto Estimate π ..............................................................................................................3428.9 Storing and Loading SAS/IML Modules ..............................................................3448.10 SAS/IML and R .........................................................................................................3458.11 Exercises .....................................................................................................................350References ...................................................................................................................................355Index ............................................................................................................................................. 357
£166.25
Taylor & Francis Ltd Random Dynamical Systems in Finance
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£58.89
Taylor & Francis Ltd Risk Analysis in Finance and Insurance 21 Chapman HallCRC Financial Mathematics
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Taylor & Francis Ltd Bayesian Model Selection and Statistical Modeling
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Taylor & Francis Ltd Applied Statistics for Business and Economics
Book SynopsisDesigned for a one-semester course, Applied Statistics for Business and Economics offers students in business and the social sciences an effective introduction to some of the most basic and powerful techniques available for understanding their world. Numerous interesting and important examples reflect real-life situations, stimulating students to think realistically in tackling these problems. Calculations can be performed using any standard spreadsheet package. To help with the examples, the author offers both actual and hypothetical databases on his website http://iwu.edu/~bleekley The text explores ways to describe data and the relationships found in data. It covers basic probability tools, Bayes' theorem, sampling, estimation, and confidence intervals. The text also discusses hypothesis testing for one and two samples, contingency tables, goodness-of-fit, analysis of variance, and population variances. In addition, the author deTable of ContentsIntroduction to Statistics. Describing Data: Tables and Graphs. Describing Data: Summary Statistics. Basic Probability. Probability Distributions. Sampling and Sampling Distributions. Estimation and Confidence Intervals. Tests of Hypotheses: One-Sample Tests. Tests of Hypotheses: Two-Sample Tests. Tests of Hypotheses: Contingency and Goodness-of-Fit. Tests of Hypotheses: ANOVA and Tests of Variances. Simple Regression and Correlation. Multiple Regression. Time-Series Analysis. Appendices. Index.
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Taylor & Francis Ltd Regression Modeling
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Taylor & Francis Ltd Nonlinear Time Series Semiparametric and Nonparametric Methods Chapman HallCRC Monographs on Statistics and Applied Probability
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Taylor & Francis Ltd Structured Credit Portfolio Analysis Baskets and CDOs
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Taylor & Francis Ltd Solvency
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Taylor & Francis Ltd Risk Assessment and Decision Making in Business and Industry
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Taylor & Francis Ltd Stochastic Processes and Related Topics Proceedings of the 12th Winter School Siegmundsburg Germany February 27March 4 2000
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Taylor & Francis Ltd Applied Structural Equation Modeling using AMOS
Book SynopsisThis is an essential how-to guide on the application of structural equation modeling (SEM) techniques with the AMOS software, focusing on the practical applications of both simple and advanced topics. Written in an easy-to-understand conversational style, the book covers everything from data collection and screening to confirmatory factor analysis, structural model analysis, mediation, moderation, and more advanced topics such as mixture modeling, censored date, and non-recursive models. Through step-by-step instructions, screen shots, and suggested guidelines for reporting, Collier cuts through abstract definitional perspectives to give insight on how to actually run analysis. Unlike other SEM books, the examples used will often start in SPSS and then transition to AMOS so that the reader can have full confidence in running the analysis from beginning to end. Best practices are also included on topics like how to determine if your SEM model is formative or reflective,Trade Review“This is one of the best book on Statistics and Research Methods I have ever reviewed so far. This book covers all you need to know on SEM i.e., the concept, introduction to the software, how to prepare data in SPSS and AMOS for analysis, measurement and structural elements of latent variable modelling, full SEM, mediation & moderation with latent variables, and latent growth analysis. To my knowledge, this is the most comprehensive book on the market. I highly recommend this book and I will definitely recommend it to all my students (undergraduate and postgraduate).” -- Daniel Boduszek, University of Huddersfield, UK & SWPS University, PolandTable of ContentsPreface 1. Introduction to Structural Equation Modeling 2. Data Screening, Assessing Reliability, Validity, and Identification 3. Understanding the AMOS Program 4. Measurement Model Analysis 5. Path and Full Structural Models 6. Mediation 7. Moderation 8. Using Categorical Independent Variables in SEM 9. Latent Growth Curve Models 10. Advanced Topics in SEM Appendix
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Taylor & Francis Empirical Macroeconomics and Statistical Uncertainty Spatial and Temporal Disaggregation of Regional Economic Indicators Routledge Studies in the European Economy
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Taylor & Francis Ltd Applied Spatial Statistics and Econometrics
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Taylor & Francis Ltd Machine Learning for Factor Investing R Version Chapman HallCRC Financial Mathematics Series
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Taylor & Francis Computational Finance MATLAB Oriented Modeling RoutledgeGiappichelli Studies in Business and Management
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Taylor & Francis Ltd Computational Finance MATLAB Oriented Modeling RoutledgeGiappichelli Studies in Business and Management
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