Applied Multivariate Statistics with R (Hardcover, 2nd ed. 2022)

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 the clustering 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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Statistics for Biology and Health
Release date:	March 2023
First published:	2022
Authors:	Daniel Zelterman
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	463
Edition:	2nd ed. 2022
ISBN-13:	978-3-03-113004-5
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Science & Mathematics > Biology, life sciences > Molecular biology Books > Medicine > General issues > Public health & preventive medicine > Epidemiology & medical statistics Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > General Promotions
LSN:	3-03-113004-9
Barcode:	9783031130045

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