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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Bibliographic Details
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
Online Access:
Physical Description:1 online resource (236 p.)
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505 0 0 |t Frontmatter --   |t Preface --   |t Contents --   |t Chapter 1 Introduction --   |t Chapter 2 Principal Components Analysis --   |t Chapter 3 Factor Analysis --   |t Chapter 4 Discriminant Analysis and Cluster Analysis --   |t Chapter 5 Inference for a Multivariate Normal Population --   |t Chapter 6 Discrete or Categorical Multivariate Data --   |t Chapter 7 Copula Models --   |t Chapter 8 Linear and Nonlinear Regression Models --   |t Chapter 9 Generalized Linear Models --   |t Chapter 10 Multivariate Regression and MANOVA Models --   |t Chapter 11 Longitudinal Data, Panel Data, and Repeated Measurements --   |t Chapter 12 Methods for Missing Data --   |t Chapter 13 Robust Multivariate Analysis --   |t Chapter 14 Selected Topics --   |t References 
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530 |a Issued also in print. 
538 |a Mode of access: Internet via World Wide Web. 
546 |a In English. 
588 0 |a Description based on online resource; title from PDF title page (publisher's Web site, viewed 01. Dez 2022) 
650 0 |a R (Computer program language). 
650 0 |a Statistics  |x Data processing. 
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650 4 |a MATHEMATICS. 
650 4 |a STATISTICS. 
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