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Semiparametric Theory and Missing Data
Anastasios Tsiatis
InnbundetEngelsk
Del av serien Springer Series in Statistics
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Nonparametric Hypothesis Testing – Rank and Permutation Methods with Applications in R
Av Livio Corain, Stefano Bonnini, Marco Marozzi, Luigi Salmaso, 2014.Del av serien Wiley Series in Probability and Statistics.
Rank and Permutation Methods with Applications in R
A novel presentation of rank and permutation tests, with accessible guidance to applications in R Nonparametric testing problems are frequently encountered in many scientific disciplines, such as engineering, medicine and the social sciences. This book summarizes traditional rank techniques and more recent developments in permutation testing as robust tools for dealing with complex data with low sample size. Key Features: Examines the most widely used methodologies of nonparametric testing. Includes extensive software codes in R featuring worked examples, and uses real case studies from both experimental and observational studies. Presents and discusses solutions to the most important and frequently encountered real problems in different fields. Features a supporting website (www.wiley.com/go/hypothesis_testing) containing all of the data sets examined in the book along with ready to use R software codes. Nonparametric Hypothesis Testing combines an up to date overview with useful practical guidance to applications in R, and will be a valuable resource for practitioners and researchers working in a wide range of scientific fields including engineering, biostatistics, psychology and medicine.
InnbundetEngelsk
Normalpris: 929,-
836,-
Spar 93,-
Ved å fullføre kjøpet aksepterer jeg kjøpsvilkårene.
Ikke tilgjengelig for Klikk&Hent
På nettlager. Bestilles fra England. Leveres normalt innen 5-8 virkedager.
Oppdag mer
Nonparametric Hypothesis Testing – Rank and Permutation Methods with Applications in R
Av Livio Corain, Stefano Bonnini, Marco Marozzi, Luigi Salmaso, 2014.Del av serien Wiley Series in Probability and Statistics.
Rank and Permutation Methods with Applications in R
A novel presentation of rank and permutation tests, with accessible guidance to applications in R Nonparametric testing problems are frequently encountered in many scientific disciplines, such as engineering, medicine and the social sciences. This book summarizes traditional rank techniques and more recent developments in permutation testing as robust tools for dealing with complex data with low sample size. Key Features: Examines the most widely used methodologies of nonparametric testing. Includes extensive software codes in R featuring worked examples, and uses real case studies from both experimental and observational studies. Presents and discusses solutions to the most important and frequently encountered real problems in different fields. Features a supporting website (www.wiley.com/go/hypothesis_testing) containing all of the data sets examined in the book along with ready to use R software codes. Nonparametric Hypothesis Testing combines an up to date overview with useful practical guidance to applications in R, and will be a valuable resource for practitioners and researchers working in a wide range of scientific fields including engineering, biostatistics, psychology and medicine.
Oppdag mer
Normalpris: 929,-
836,-
Spar 93,-
InnbundetEngelsk
Ved å fullføre kjøpet aksepterer jeg kjøpsvilkårene.
Ikke tilgjengelig for Klikk&Hent
På nettlager. Bestilles fra England. Leveres normalt innen 5-8 virkedager.
836,-
Ved å fullføre kjøpet aksepterer du kjøpsvilkårene.
