Applied Multivariate Statistical Analysis and Related Topics with R Coll. Current natural sciences
Langue : Français
Auteurs : WU Lang, Qiu Jin
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.
JinQIUisProfessorofSchoolofDataSciencesatZhejiangUniversityofFinanceandEconomicsinHangzhou,China.Hermainfocusisonmultivariatedata,longitudinaldata(orpaneldata),functionaldata,andspatialdata.
LangWUisProfessorofStatisticsattheUniversityofBritishColumbiainVancouver,Canada.Hisresearchinterestincludestheanalysisoflongitudinaldata(orpaneldata)andsurvivaldatawhentherearemissingvalues,censoredvalues,measurementerrors,andoutliers.
LangWUisProfessorofStatisticsattheUniversityofBritishColumbiainVancouver,Canada.Hisresearchinterestincludestheanalysisoflongitudinaldata(orpaneldata)andsurvivaldatawhentherearemissingvalues,censoredvalues,measurementerrors,andoutliers.
Date de parution : 03-2021
Ouvrage de 236 p.
16x24 cm
Thèmes d’Applied Multivariate Statistical Analysis and Related... :
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