02564nam 2200541 450 991055423200332120231110215737.02-7598-2602-310.1051/978-2-7598-2602-5(CKB)4100000011804657(DE-B1597)586427(DE-B1597)9782759826025(MiAaPQ)EBC6522893(Au-PeEL)EBL6522893(OCoLC)1243546702(MiAaPQ)EBC6810437(Au-PeEL)EBL6810437(PPN)254804691(EXLCZ)99410000001180465720220705d2021 uy 0engur||#||||||||txtrdacontentcrdamediacrrdacarrierApplied multivariate statistical analysis and related topics with R /Lang WU, Jin QIULes Ulis, France :EDP Sciences,[2021]©20211 online resource (236 p.)Current Natural Sciences2-7598-2601-5 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 --ReferencesMultivariate 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.Current Natural Sciences R (Computer program language)StatisticsData processingR (Computer program language)StatisticsData processing.005.133Wu Lang1963-1250339Qiu JinMiAaPQMiAaPQMiAaPQBOOK9910554232003321Applied multivariate statistical analysis and related topics with R2897322UNINA