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Can I read Practical Multivariate Analysis (Chapman & Hall/CRC Texts in Statistical Science) on EtoBox?

Practical Multivariate Analysis (Chapman & Hall/CRC Texts in Statistical Science) by Afifi, Abdelmonem A.; Clark, Virginia; Donatello, Robin Angela; May, Susanne is a nonfiction available to read on EtoBox.

What is Practical Multivariate Analysis (Chapman & Hall/CRC Texts in Statistical Science) about?

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.;What is multivariate analysis? -- Characterizing data for analysis -- Preparing for data analysis -- Data Visualization -- Data screening and transformations -- Selecting appropriate analyses -- Simpl

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

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Afifi, Abdelmonem A.; Clark, Virginia; Donatello, Robin Angela; May, Susanne
Publisher
CRC Press&Chapman & Hall
Published
2020
Language
EN
ISBN
9781032088471
Category
nonfiction
Subjects
Reference, Mathematics

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