9781138702226-1138702226-Practical Multivariate Analysis (Chapman & Hall/CRC Texts in Statistical Science)

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

ISBN-13: 9781138702226
ISBN-10: 1138702226
Edition: 6
Author: Abdelmonem Afifi, Susanne May, Robin Donatello, Virginia A. Clark
Publication date: 2019
Publisher: Chapman and Hall/CRC
Format: Hardcover 434 pages
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Book details

ISBN-13: 9781138702226
ISBN-10: 1138702226
Edition: 6
Author: Abdelmonem Afifi, Susanne May, Robin Donatello, Virginia A. Clark
Publication date: 2019
Publisher: Chapman and Hall/CRC
Format: Hardcover 434 pages

Summary

Practical Multivariate Analysis (Chapman & Hall/CRC Texts in Statistical Science) (ISBN-13: 9781138702226 and ISBN-10: 1138702226), written by authors Abdelmonem Afifi, Susanne May, Robin Donatello, Virginia A. Clark, was published by Chapman and Hall/CRC in 2019. With an overall rating of 3.7 stars, it's a notable title among other Applied (Mathematics) books. You can easily purchase or rent Practical Multivariate Analysis (Chapman & Hall/CRC Texts in Statistical Science) (Hardcover) from BooksRun, along with many other new and used Applied books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $1.44.

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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