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Smooth Tests of Goodness of Fit: Oxford Statistical Science Series

Autor J. C. W. Rayner, D. J. Best
en Limba Engleză Hardback – 11 iul 1990
Goodness of fit describes the validity of models involving statistical distribution of data, and smooth tests are a subset of these tests which are easy to apply and can be used in any situation in which there are relatively large sample sizes. Both concepts have become increasingly important with the advent of high-speed computers and the implementation of more complex models in the areas of probability and statistics. Written to be accessible to undergraduates with a working knowledge of statistics and calculus, this is an introductory reference work that should appeal to all professionals involved in statistical modelling.
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Specificații

ISBN-13: 9780195056105
ISBN-10: 0195056108
Pagini: 176
Ilustrații: line drawings, tables throughout
Dimensiuni: 160 x 243 x 17 mm
Greutate: 0.45 kg
Editura: Oxford University Press
Colecția OUP USA
Seria Oxford Statistical Science Series

Locul publicării:New York, United States

Cuprins

Introduction; Pearson's X test; Asymptotically optimal tests; Neyman smooth tests for simple null hypotheses; Neyman smooth tests for categorized simple null hypotheses; Neyman smooth tests for uncategorized composite null hypotheses; Neyman smooth tests for categorized composite null hypotheses; Conclusion.

Recenzii

'This book gives a very readable account of the smooth tests of goodness of fit. The book can be read by scientists having only an introductory knowledge of statistics. It contains a fairly extensive list of references; research will find it helpful for the further development of smooth tests.'T.K. Chandra, Zentralblatt für Mathematik und ihre Grenzgebiete, Band 73, 1/92