Applied multivariate statistical analysis and related topics with R /

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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.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Wu, Lang, 1963- (Autor), Qiu, Jin (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: [Les Ulis] : Science Press, EDP Sciences, [2021]
Colección:Current natural sciences.
Temas:
R (Computer program language)
Statistics > Data processing.
R (Langage de programmation)
Statistique > Informatique.
MATHEMATICS > Probability & Statistics > Multivariate Analysis.
Statistics > Data processing
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 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.

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