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

• 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
• Physical Description: 1 online resource (236 p.)
• Other title: 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
• Format: Mode of access: Internet via World Wide Web.
• ISBN: 9782759826025; 9783110743357; 9783110754001; 9783110753776; 9783110754131; 9783110753905; 9783110756654
• DOI: 10.1051/978-2-7598-2602-5
• Access: restricted access
• Hierarchical level: Monograph
• Statement of Responsibility: Jin QIU, Lang WU.

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.