| Description |
1 online resource (viii, 238 pages) |
| Series |
Current natural sciences |
|
Current natural sciences
|
| Contents |
Introduction -- Principal Components Analysis -- Factor Analysis -- Discriminant Analysis and Cluster Analysis -- Inference for a Multivariate Normal Population -- Discrete or Categorical Multivariate Data -- Copula Models -- Linear and Nonlinear Regression Models -- Generalized Linear Models -- Multivariate Regression and MANOVA Models -- Longitudinal Data, Panel Data, and Repeated Measurements -- Methods for Missing Data -- Robust Multivariate Analysis -- Selected Topics |
| 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 |
| Bibliography |
Includes bibliographical references |
| Notes |
Online resource; title from digital title page (viewed on July 28, 2022) |
| Subject |
R (Computer program language)
|
|
Statistics -- Data processing.
|
|
MATHEMATICS -- Probability & Statistics -- Multivariate Analysis.
|
|
R (Computer program language)
|
|
Statistics -- Data processing
|
| Form |
Electronic book
|
| Author |
Qiu, Jin, author
|
| ISBN |
9782759826025 |
|
2759826023 |
|
