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Autore: |
Wu Lang <1963->
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Titolo: |
Applied multivariate statistical analysis and related topics with R / / Lang WU, Jin QIU
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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 ![]() |
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 |
Opac: | Controlla la disponibilità qui |