Multivariate analysis is a popular area in statistics and data science. This book provides a good balance between conceptual understanding, key theoretical presentation, and detailed implementation with software R for commonly used multivariate analysis models and methods in practice.
Applied Multivariate Statistical Analysis and Related Topics with R
β Scribed by Lang WU; Jin QIU
- Publisher
- EDP Sciences
- Year
- 2021
- Tongue
- English
- Leaves
- 236
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
Multivariate analysis is a popular area in statistics and data. This book provides a good balance between conceptual understanding, key theoretical presentation, and detailed implementation with software R for commonly used multivariate analysis models and methods in practice.
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<p>This book brings the power of multivariate statistics to graduate-level practitioners, making these analytical methods accessible without lengthy mathematical derivations. Using the open source, shareware program<b> R</b>, Professor Zelterman demonstrates the process and outcomes for a wide array
<p><p>This book brings the power of multivariate statistics to graduate-level practitioners, making these analytical methods accessible without lengthy mathematical derivations. Using the open source, shareware program<b> R</b>, Professor Zelterman demonstrates the process and outcomes for a wide ar
This is probably the best applied statistics book I have ever read. It is not one of the "for dummies" book, it does use some linear algebra and requires some knowledge of elementary statistics, but at the same time it is very clear and understandable. I think this is the only reasonable approach -