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Smooth Tests of Goodness of Fit: Using R
In this fully revised and expanded edition of Smooth Tests of Goodness of Fit , the latest powerful techniques for assessing statistical and probabilistic models using this proven class of procedures are presented in a practical and easily accessible manner. Emphasis is placed on modern developments...
Autores principales: | , , |
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Lenguaje: | eng |
Publicado: |
John Wiley & Sons Inc.
2009
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Materias: | |
Acceso en línea: | http://cds.cern.ch/record/1320528 |
Sumario: | In this fully revised and expanded edition of Smooth Tests of Goodness of Fit , the latest powerful techniques for assessing statistical and probabilistic models using this proven class of procedures are presented in a practical and easily accessible manner. Emphasis is placed on modern developments such as data-driven tests, diagnostic properties, and model selection techniques. Applicable to most statistical distributions, the methodology described in this book is optimal for deriving tests of fit for new distributions and complex probabilistic models, and is a standard against which new pro |
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