9781032088471-1032088478-Practical Multivariate Analysis (Chapman & Hall/CRC Texts in Statistical Science)

Practical Multivariate Analysis (Chapman & Hall/CRC Texts in Statistical Science)

ISBN-13: 9781032088471
ISBN-10: 1032088478
Edition: 6
Author: Abdelmonem Afifi, Susanne May, Robin Donatello, Virginia A. Clark
Publication date: 2021
Publisher: Routledge
Format: Paperback 434 pages
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Book details

ISBN-13: 9781032088471
ISBN-10: 1032088478
Edition: 6
Author: Abdelmonem Afifi, Susanne May, Robin Donatello, Virginia A. Clark
Publication date: 2021
Publisher: Routledge
Format: Paperback 434 pages

Summary

Practical Multivariate Analysis (Chapman & Hall/CRC Texts in Statistical Science) (ISBN-13: 9781032088471 and ISBN-10: 1032088478), written by authors Abdelmonem Afifi, Susanne May, Robin Donatello, Virginia A. Clark, was published by Routledge in 2021. With an overall rating of 4.3 stars, it's a notable title among other Cancer (Diseases & Physical Ailments) books. You can easily purchase or rent Practical Multivariate Analysis (Chapman & Hall/CRC Texts in Statistical Science) (Paperback) from BooksRun, along with many other new and used Cancer books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $3.95.

Description

This is the sixth edition of a popular textbook on multivariate analysis. Well-regarded for its practical and accessible approach, with excellent examples and good guidance on computing, the book is particularly popular for teaching outside statistics, i.e. in epidemiology, social science, business, etc. The sixth edition has been updated with a new chapter on data visualization, a distinction made between exploratory and confirmatory analyses and a new section on generalized estimating equations and many new updates throughout. This new edition will enable the book to continue as one of the leading textbooks in the area, particularly for non-statisticians.
Key Features:
Provides a comprehensive, practical and accessible introduction to multivariate analysis.
Keeps mathematical details to a minimum, so particularly geared toward a non-statistical audience.
Includes lots of detailed worked examples, guidance on computing, and exercises.
Updated with a new chapter on data visualization.

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