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Applied Multivariate Statistical Analysis and Related Topics with R (Broché)
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Résumé
Multivariate analysis is a popular area in statistics and data science. 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.
Fiche technique
- Date de parution : 19/03/2021
- Editeur : EDP Sciences
- Collection : Current Natural Sciences
- ISBN : 978-2-7598-2601-8
- EAN : 9782759826018
- Format : Grand Format
- Présentation : Broché
- Nb. de pages : 223 pages
- Poids : 0.394 Kg
- Dimensions : 16,0 cm × 24,0 cm × 1,4 cm
À propos des auteurs
Lang Wu is Professor of Statistics at the University of British Columbia in Vancouver, Canada. His research interest includes the analysis of longitudinal data (or panel data) and survival data when there are missing values, censored values, measurement errors, and outliers. Jin Diu is Professor of School of Data Sciences at Zhejiang University of Finance and Economics in Hangzhou, China. Her main focus is on multivariate data, longitudinal data (or panel data), functional data, and spatial data.
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