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| #2350406 in Books | 2013-12-31 | Original language:English | PDF # 1 | 9.50 x.95 x6.40l,1.40 | File type: PDF | 392 pages||1 of 1 people found the following review helpful.| Great, compact Instruction, but with too many printer errors.|By Jeff Flint|I really appreciate the compact way the author presents and illuminates the fundamentals of statistical theory. It is a great book to work through and dig out nuggets. The book does have many print errors that is distracting (but do present interesting puzzles at times.) If the publisher/author conta|||“This book seems suitable for an advanced undergraduate and/or introductory master's level course . . . Four appealing features of this book are its inclusion of an overview, a summary, exercises (with answers provided), and numerical examples for all s
A self-contained introduction to matrix analysis theory and applications in the field of statistics
Comprehensive in scope, Matrix Algebra for Linear Models offers a succinct summary of matrix theory and its related applications to statistics, especially linear models. The book provides a unified presentation of the mathematical properties and statistical applications of matrices in order to define and manipulate data.
Written for theoretic...
You easily download any file type for your device.Matrix Algebra for Linear Models | Marvin H. J. Gruber. I was recommended this book by a dear friend of mine.
