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[null,"1.","Record Nr.",null,"UNINA9910554232003321"]
[null,null,"Autore",null,"Wu Lang <1963->"]
[null,null,"Titolo",null,"Applied multivariate statistical analysis and related topics with R / / Lang WU, Jin QIU"]
[null,null,"Pubbl/distr/stampa",null,"Les Ulis, France : , : EDP Sciences, , [2021]"]
[{"$nulls":4},"©2021"]
[null,null,"ISBN",null,"2-7598-2602-3"]
[null,null,"Descrizione fisica",null,"1 online resource (236 p.)"]
[null,null,"Collana",null,"Current Natural Sciences"]
[null,null,"Disciplina",null,"005.133"]
[null,null,"Soggetti",null,"R (Computer program language)"]
[{"$nulls":4},"Statistics - Data processing"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"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"]
[null,null,null,"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."]