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Record Nr. |
UNINA9910554232003321 |
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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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Pubbl/distr/stampa |
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Les Ulis, France : , : EDP Sciences, , [2021] |
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©2021 |
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ISBN |
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Descrizione fisica |
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1 online resource (236 p.) |
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Collana |
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Disciplina |
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Soggetti |
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R (Computer program language) |
Statistics - Data processing |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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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 |
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Sommario/riassunto |
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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. |
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