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Nonparametric statistical methods using R

A Practical Guide to Implementing Nonparametric and Rank-Based ProceduresNonparametric Statistical Methods Using R covers traditional nonparametric methods and rank-based analyses, including estimation and inference for models ranging from simple location models to general linear and nonlinear model...

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Detalles Bibliográficos
Autores principales: Kloke, John, McKean, Joseph W
Lenguaje:eng
Publicado: Taylor and Francis 2014
Materias:
Acceso en línea:http://cds.cern.ch/record/1974843
Descripción
Sumario:A Practical Guide to Implementing Nonparametric and Rank-Based ProceduresNonparametric Statistical Methods Using R covers traditional nonparametric methods and rank-based analyses, including estimation and inference for models ranging from simple location models to general linear and nonlinear models for uncorrelated and correlated responses. The authors emphasize applications and statistical computation. They illustrate the methods with many real and simulated data examples using R, including the packages Rfit and npsm.The book first gives an overview of the R language and basic statistical c