How Long to Read Matrix Analysis for Statistics

How Long Does it Take to Read Matrix Analysis for Statistics?

It takes the average reader 9 hours and 22 minutes to read Matrix Analysis for Statistics by James R. Schott

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

Description

An up-to-date version of the complete, self-contained introduction to matrix analysis theory and practice Providing accessible and in-depth coverage of the most common matrix methods now used in statistical applications, Matrix Analysis for Statistics, Third Edition features an easy-to-follow theorem/proof format. Featuring smooth transitions between topical coverage, the author carefully justifies the step-by-step process of the most common matrix methods now used in statistical applications, including eigenvalues and eigenvectors; the Moore-Penrose inverse; matrix differentiation; and the distribution of quadratic forms. An ideal introduction to matrix analysis theory and practice, Matrix Analysis for Statistics, Third Edition features: • New chapter or section coverage on inequalities, oblique projections, and antieigenvalues and antieigenvectors • Additional problems and chapter-end practice exercises at the end of each chapter • Extensive examples that are familiar and easy to understand • Self-contained chapters for flexibility in topic choice • Applications of matrix methods in least squares regression and the analyses of mean vectors and covariance matrices Matrix Analysis for Statistics, Third Edition is an ideal textbook for upper-undergraduate and graduate-level courses on matrix methods, multivariate analysis, and linear models. The book is also an excellent reference for research professionals in applied statistics. James R. Schott, PhD, is Professor in the Department of Statistics at the University of Central Florida. He has published numerous journal articles in the area of multivariate analysis. Dr. Schott’s research interests include multivariate analysis, analysis of covariance and correlation matrices, and dimensionality reduction techniques.

How long is Matrix Analysis for Statistics?

Matrix Analysis for Statistics by James R. Schott is 547 pages long, and a total of 140,579 words.

This makes it 185% the length of the average book. It also has 172% more words than the average book.

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

The average oral reading speed is 183 words per minute. This means it takes 12 hours and 48 minutes to read Matrix Analysis for Statistics aloud.

What Reading Level is Matrix Analysis for Statistics?

Matrix Analysis 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 Analysis for Statistics?

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