Applied Multivariate Statistical Analysis and Related Topics with R /

Applied Multivariate Statistical Analysis and Related Topics with R / / Jin QIU, Lang WU.

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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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Bibliographic Details
Superior document:Title is part of eBook package: De Gruyter DG Plus PP Package 2021 Part 2
VerfasserIn:
WU, Lang,
QIU, Jin,
Place / Publishing House:Les Ulis : : EDP Sciences, , [2021]
©2021
Year of Publication:2021
Language:English
Series:Current Natural Sciences
Online Access:
Physical Description:1 online resource (236 p.)
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Table of Contents:
  • Frontmatter
  • Preface
  • Contents
  • Chapter 1 Introduction
  • Chapter 2 Principal Components Analysis
  • Chapter 3 Factor Analysis
  • Chapter 4 Discriminant Analysis and Cluster Analysis
  • Chapter 5 Inference for a Multivariate Normal Population
  • Chapter 6 Discrete or Categorical Multivariate Data
  • Chapter 7 Copula Models
  • Chapter 8 Linear and Nonlinear Regression Models
  • Chapter 9 Generalized Linear Models
  • Chapter 10 Multivariate Regression and MANOVA Models
  • Chapter 11 Longitudinal Data, Panel Data, and Repeated Measurements
  • Chapter 12 Methods for Missing Data
  • Chapter 13 Robust Multivariate Analysis
  • Chapter 14 Selected Topics
  • References

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