Matrix Algebra Useful For Statistics

RUR 10064.82

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4.1 звезд, основано на 31 отзывах

Описание

A thoroughly updated guide to matrix algebra and it uses in statistical analysis and features SAS®, MATLAB®, and R throughout This Second Edition addresses matrix algebra that is useful in the statistical analysis of data as well as within statistics as a whole

ANDR I

Dr

Dr

Featuring numerous applied illustrations, numerical examples, and exercises, the book has been updated to include the use of SAS, MATLAB, and R for the execution of matrix computations

He is the author of Advanced Calculus with Applications in Statistics, Second Edition and co-author of Statistical Tests for Mixed Linear Models, all published by Wiley

He was the author of Linear Models for Unbalanced Data and Linear Models and co-author of Generalized, Linear, and Mixed Models, Second Edition, Matrix Algebra for Applied Economics, and Variance Components, all published by Wiley

In addition, Andr I

KHURI, PHD, is Professor Emeritus of Statistics at the University of Florida

Khuri is a member of numerous academic associations, among them the American Statistical Association and the Institute of Mathematical Statistics.

Khuri, who has extensive research and teaching experience in the field, joins this new edition as co-author

SEARLE, PHD, was professor emeritus of biometry at Cornell University

Searle received the Alexander von Humboldt Senior Scientist Award, and he was an honorary fellow of the Royal Society of New Zealand

THE LATE SHAYLE R

The Second Edition also Contains new coverage on vector spaces and linear transformations and discusses computational aspects of matrices Covers the analysis of balanced linear models using direct products of matrices Analyzes multiresponse linear models where several responses can be of interest Includes extensive use of SAS, MATLAB, and R throughout Contains over 400 examples and exercises to reinforce understanding along with select solutions Includes plentiful new illustrations depicting the importance of geometry as well as historical interludes Matrix Algebra Useful for Statistics, Second Edition is an ideal textbook for advanced undergraduate and first-year graduate level courses in statistics

The book is also appropriate as a reference for independent readers who use statistics and wish to improve their knowledge of matrix algebra

The material is presented in an explanatory style rather than a formal theorem-proof format and is self-contained

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