Daniel Zelterman
Applied Multivariate Statistics with R
Applied Multivariate Statistics with R
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- More about Applied Multivariate Statistics with R
This book is a comprehensive guide to multivariate statistics, covering graphical displays, linear algebra, normal distributions, factor methods, regression, discrimination, classification, clustering, time series models, and more. It uses practical examples and R implementations and is suitable for students and practitioners in the health and life sciences.
Format: Hardback
Length: 463 pages
Publication date: 21 January 2023
Publisher: Springer International Publishing AG
This second edition of the book is a comprehensive guide to multivariate statistics, designed to make these analytical methods accessible to graduate-level practitioners without the need for 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. The chapters cover various topics, including graphical displays, linear algebra, univariate, bivariate, and multivariate normal distributions, factor methods, linear regression, discrimination and classification, clustering, time series models, and additional methods.
To welcome readers from a variety of academic specialties, practical examples from diverse disciplines are used throughout the book. Each chapter includes exercises, real data sets, and R implementations to assist readers in applying the concepts learned. The book avoids theoretical derivations beyond those necessary to fully appreciate the methods, making it suitable for students with a basic understanding of statistics.
New to this edition are chapters devoted to longitudinal studies and the clustering of large data. These chapters provide valuable insights into analyzing data collected over time and handling large datasets, respectively. The book 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.
Weight: 887g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031130045
Edition number: 2nd ed. 2022
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