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Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.13/917711

Title: Smooth tests of goodness of fit: using R
Author/Creator: Rayner, J. C. W.; Thas, O.; Best, D. J.
Institution: The University of Newcastle. Faculty of Science & Information Technology, School of Mathematical and Physical Sciences
Description: In this revised and expanded edition of Smooth Tests of Goodness of Fit, the latest 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 procedures should be compared.
Description: 2nd ed.
Relation: Wiley Series in Probability and Statistics
Publisher Link: http://dx.doi.org/10.1002/9780470824443
Date: 2009
Publisher: John Wiley & Sons (Asia)
Keyword(s): probabilistic models; statistical models; statistical distribution; data-driven smooth tests; R code
Resource Type: book
Identifier: http://hdl.handle.net/1959.13/917711
Identifier: ISBN:9780470824429

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