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Applied multivariate statistical analysis and related topics with R / / Lang WU, Jin QIU



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Autore: Wu Lang <1963-> Visualizza persona
Titolo: Applied multivariate statistical analysis and related topics with R / / Lang WU, Jin QIU Visualizza cluster
Pubblicazione: Les Ulis, France : , : EDP Sciences, , [2021]
©2021
Descrizione fisica: 1 online resource (236 p.)
Disciplina: 005.133
Soggetto topico: R (Computer program language)
Statistics - Data processing
Persona (resp. second.): QiuJin
Nota di contenuto: 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
Sommario/riassunto: 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.
Titolo autorizzato: Applied multivariate statistical analysis and related topics with R  Visualizza cluster
ISBN: 2-7598-2602-3
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910554232003321
Lo trovi qui: Univ. Federico II
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Serie: Current Natural Sciences