Applied Multivariate Statistics with R

By:

Daniel Zelterman

Format:

Hardback

Series:

Statistics for Biology and Health

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Description

Now in its second edition, this book brings multivariate statistics to graduate-level practitioners, making these analytical methods accessible without lengthy mathematical derivations. Using the open source shareware program R, Dr. Zelterman demonstrates the process and outcomes for a wide array of multivariate statistical applications. Chapters cover graphical displays; linear algebra; univariate, bivariate and multivariate normal distributions; factor methods; linear regression; discrimination and classification; clustering; time series models; and additional methods. He uses practical examples from diverse disciplines, to welcome readers from a variety of academic specialties. Each chapter includes exercises, real data sets, and R implementations. The book avoids theoretical derivations beyond those needed to fully appreciate the methods. Prior experience with R is not necessary. New to this edition are chapters devoted to longitudinal studies and theclustering of large data. It is an excellent resource for students of multivariate statistics, as well as practitioners in the health and life sciences who are looking to integrate statistics into their work.

Author Biography:

Daniel Zelterman is professor in the department of biostatistics at Yale University. His research areas include computational statistics, models for discrete valued data, and the design of clinical trials in cancer studies. In his spare time he plays oboe and bassoon in amateur orchestral groups and has backpacked hundreds of miles of the Appalachian Trail.

Release date Australia

January 21st, 2023

Author

Daniel Zelterman

Audience

Professional & Vocational

Edition

2nd ed. 2022

Illustrations

158 Illustrations, color; 14 Illustrations, black and white; XIX, 463 p. 172 illus., 158 illus. in color.

Pages

463

Series

Statistics for Biology and Health

ISBN-13

9783031130045

Product ID

35980769

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