
Smooth Tests of Goodness of Fit
Oxford University Press Inc
Published on 12. July 1990
Book
Hardback
176 pages
978-0-19-505610-5 (ISBN)
Description
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.
Reviews / Votes
'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 fuer Mathematik und ihre Grenzgebiete, Band 73, 1/92
More details
Series
Language
English
Place of publication
New York
United States
Target group
Professional and scholarly
Illustrations
line drawings, tables throughout
Dimensions
Height: 235 mm
Width: 157 mm
Thickness: 14 mm
Weight
420 gr
ISBN-13
978-0-19-505610-5 (9780195056105)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

J. C. W. Rayner | D. J. Best
Smooth Tests of Goodness of Fit
E-Book
10/1989
1st Edition
OUP eBook
€95.99
Available for download
Persons
Author
Professor, Department of Mathematics and StatisticsProfessor, Department of Mathematics and Statistics, University of Otago, New Zealand
CSIRO Division of Mathematics and StatisticsCSIRO Division of Mathematics and Statistics, Food Research Laboratory, New South Wales, New Zealand
Content
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.