Applied Multivariate Statistical Analysis and Related Topics with R / / 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.
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Superior document: | Title is part of eBook package: De Gruyter DG Plus PP Package 2021 Part 2 |
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Place / Publishing House: | Les Ulis : : EDP Sciences, , [2021] ©2021 |
Year of Publication: | 2021 |
Language: | English |
Series: | Current Natural Sciences
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Online Access: | |
Physical Description: | 1 online resource (236 p.) |
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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 |
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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. |
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. |