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Applied multivariate statistical analysis and related topics with R / Lang WU, Jin QIU.
- Format:
- Book
- Author/Creator:
- Wu, Lang, 1963- author.
- Qiu, Jin, author.
- Series:
- Current Natural Sciences
- Language:
- English
- Subjects (All):
- R (Computer program language).
- Statistics--Data processing.
- Statistics.
- Physical Description:
- 1 online resource (236 p.)
- Edition:
- 1st ed.
- Place of Publication:
- Les Ulis, France : EDP Sciences, [2021]
- Language Note:
- In English.
- Summary:
- 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.
- 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
- Notes:
- Description based on print version record.
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 9782759826025
- 2759826023
- OCLC:
- 1243546702
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