Probability and statistics Books
Springer Nature Singapore Advanced Statistical Methods
Book Synopsis
£94.99
Independently Published Introductory Statistics 2e (hardcover, full color)
£63.99
Springer International Publishing AG An Introduction to Multivariable Mathematics
Book SynopsisThe text is designed for use in a forty-lecture introductory course covering linear algebra, multivariable differential calculus, and an introduction to real analysis. The core material of the book is arranged to allow for the main introductory material on linear algebra, including basic vector space theory in Euclidean space and the initial theory of matrices and linear systems, to be covered in the first ten or eleven lectures, followed by a similar number of lectures on basic multivariable analysis, including first theorems on differentiable functions on domains in Euclidean space and a brief introduction to submanifolds. The book then concludes with further essential linear algebra, including the theory of determinants, eigenvalues, and the spectral theorem for real symmetric matrices, and further multivariable analysis, including the contraction mapping principle and the inverse and implicit function theorems. There is also an appendix which provides a nine-lecture introduction to real analysis. There are various ways in which the additional material in the appendix could be integrated into a course--for example in the Stanford Mathematics honors program, run as a four-lecture per week program in the Autumn Quarter each year, the first six lectures of the nine-lecture appendix are presented at the rate of one lecture per week in weeks two through seven of the quarter, with the remaining three lectures per week during those weeks being devoted to the main chapters of the text. It is hoped that the text would be suitable for a quarter or semester course for students who have scored well in the BC Calculus advanced placement examination (or equivalent), particularly those who are considering a possible major in mathematics. The author has attempted to make the presentation rigorous and complete, with the clarity and simplicity needed to make it accessible to an appropriately large group of students. Table of Contents: Linear Algebra / Analysis in R / More Linear Algebra / More Analysis in R / Appendix: Introductory Lectures on Real AnalysisTable of ContentsLinear Algebra.- Analysis in R.- More Linear Algebra.- More Analysis in R.- Appendix: Introductory Lectures on Real Analysis.
£33.66
Elsevier Science Statistical Methods in the Atmospheric Sciences
Table of Contents1. Introduction2. Review of Probability3. Empirical Distributions and Exploratory Data Analysis4. Parametric Probability Distributions5. Frequentist Statistical Inference6. Bayesian Inference7. Statistical Forecasting8. Ensemble Forecasting9. Forecast Verification10. Time Series11. Matrix Algebra and Random Matrices12. Multivariate Normal Distribution13. Principal Component (EOF) Analysis14. Linear multivariate analysis of vector pairs: CCA, MCA, and RA15. Discrimination and Classification16. Cluster Analysis
£86.36
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 Design of Mechanical Systems Based on Statistics A Guide to Improving Product Reliability Advanced Research in Reliability and System Assurance Engineering
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£142.50
Taylor & Francis Ltd Differential Equations in Engineering and Mechanics
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£169.84
Taylor & Francis Age Period and Cohort Effects Statistical Analysis and the Identification Problem
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Taylor & Francis Age Period and Cohort Effects Statistical Analysis and the Identification Problem
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Taylor & Francis Ltd Computer Intensive Methods in Statistics
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Taylor & Francis Ltd Computer Intensive Methods in Statistics
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Taylor & Francis Ltd Signal Detection for Medical Scientists
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Taylor & Francis Ltd R for Conservation and Development Projects
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Taylor & Francis Ltd A First Course in Ergodic Theory
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Taylor & Francis Ltd Advanced R Second Edition Chapman HallCRC The R Series
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Taylor & Francis Ltd Cancer Clinical Trials
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Taylor & Francis Ltd ProjectBased R Companion to Introductory Statistics
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Taylor & Francis Ltd Supervised Machine Learning
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Taylor & Francis Ltd Introduction to Stochastic Level Crossing Techniques
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Taylor & Francis Ltd Deep Learning in Time Series Analysis
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Taylor & Francis Ltd Handbook of Methods for Designing Monitoring and Analyzing DoseFinding Trials Chapman HallCrc Handbooks of Modern Statistical Methods Aims and Scopes
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£68.39
Taylor & Francis Ltd Statistics for Making Decisions
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Taylor & Francis Ltd Statistics for Making Decisions
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Taylor & Francis Ltd Randomization Bootstrap and Monte Carlo Methods in Biology Chapman HallCRC Texts in Statistical Science
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Taylor & Francis Categorical Data Analysis for the Behavioral and Social Sciences
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Taylor & Francis Ltd Statistical Methods for Mediation Confounding and Moderation Analysis Using R and SAS
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Taylor & Francis Ltd SPSS Explained
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Taylor & Francis Ltd Sharpening Your Advanced SAS Skills
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Taylor & Francis Ltd Pseudolinear Functions and Optimization
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Taylor & Francis Ltd A Handbook of Statistical Graphics Using SAS ODS
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Taylor & Francis Ltd Theory of Factorial Design Single and MultiStratum Experiments
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Taylor & Francis Ltd Foundations of Statistical Algorithms
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Taylor & Francis Ltd Fuzzy Multiple Objective Decision Making
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Taylor & Francis Ltd Applied Stochastic Processes
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Taylor & Francis Ltd Optimal Design for Nonlinear Response Models
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Taylor & Francis Ltd Random Dynamical Systems in Finance
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Taylor & Francis Ltd Analysis of Mixed Data
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Taylor & Francis Ltd Foundations of Predictive Analytics Chapman HallCrc Data Mining and Knowledge Discovery Series
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Taylor & Francis Ltd Experimental Design
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Taylor & Francis Ltd A Practitioners Guide to Resampling for Data Analysis Data Mining and Modeling
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Taylor & Francis Ltd Optimal Experimental Design with R
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Taylor & Francis Ltd Practical Statistical Methods
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Taylor & Francis Ltd Data Clustering in C An ObjectOriented Approach 20 Chapman HallCRC Data Mining and Knowledge Discovery
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Taylor & Francis Ltd Introduction to Statistical Limit Theory
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Taylor & Francis Ltd Relational Data Clustering Models Algorithms and Applications 14 Chapman HallCRC Data Mining and Knowledge Discovery
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Taylor & Francis Ltd Irregularities and Prediction of Major Disasters
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