Téléchargez le livre : Nonparametric Hypothesis Testing

Nonparametric Hypothesis Testing

Rank and Permutation Methods with Applications in R

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Éditeur :

Wiley


Collection :

Wiley Series in Probability and Statistics

Paru le : 2014-07-01



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Description
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.
Pages
256 pages
Collection
Wiley Series in Probability and Statistics
Parution
2014-07-01
Marque
Wiley
EAN papier
9781119952374
EAN PDF
9781118763476
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
256
Taille du fichier
3338 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
80,13 €
EAN EPUB
9781118763483
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
256
Taille du fichier
2284 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
80,13 €

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