How Long to Read Matrix Algebra Useful for Statistics

How Long Does it Take to Read Matrix Algebra Useful for Statistics?

It takes the average reader 8 hours and 36 minutes to read Matrix Algebra Useful for Statistics by Shayle R. Searle

Assuming a reading speed of 250 words per minute. Learn more

Description

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. The material is presented in an explanatory style rather than a formal theorem-proof format and is self-contained. 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. In addition, André I. Khuri, who has extensive research and teaching experience in the field, joins this new edition as co-author. 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 and other related disciplines. The book is also appropriate as a reference for independent readers who use statistics and wish to improve their knowledge of matrix algebra. THE LATE SHAYLE R. SEARLE, PHD, was professor emeritus of biometry at Cornell University. 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. Dr. Searle received the Alexander von Humboldt Senior Scientist Award, and he was an honorary fellow of the Royal Society of New Zealand. ANDRÉ I. KHURI, PHD, is Professor Emeritus of Statistics at the University of Florida. 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. Dr. Khuri is a member of numerous academic associations, among them the American Statistical Association and the Institute of Mathematical Statistics.

How long is Matrix Algebra Useful for Statistics?

Matrix Algebra Useful for Statistics by Shayle R. Searle is 512 pages long, and a total of 129,024 words.

This makes it 173% the length of the average book. It also has 158% more words than the average book.

How Long Does it Take to Read Matrix Algebra Useful for Statistics Aloud?

The average oral reading speed is 183 words per minute. This means it takes 11 hours and 45 minutes to read Matrix Algebra Useful for Statistics aloud.

What Reading Level is Matrix Algebra Useful for Statistics?

Matrix Algebra Useful for Statistics is suitable for students ages 12 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Matrix Algebra Useful for Statistics?

Matrix Algebra Useful for Statistics by Shayle R. Searle is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

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