Smooth Tests of Goodness of Fit by J. C. W. Rayner

Smooth Tests of Goodness of Fit

byJ. C. W. Rayner, D. J. Best

Hardcover | December 1, 1988

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Goodness of fit describes the validity of models involving statistical distributions of data, and smooth tests are a subset of these tests that are easy to apply and can be used in any situation in which there are relatively large sample sizes. Both concepts have become increasingly importantwith 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 knowledge of statistics and calculus, this is an introductory reference work that should appeal to all professionalsinvolved in statistical modeling.

About The Author

J. C. W. Rayner is at University of Otago. D. J. Best is at Food Research Laboratory, New South Wales.
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Details & Specs

Title:Smooth Tests of Goodness of FitFormat:HardcoverDimensions:176 pages, 9.57 × 6.3 × 0.67 inPublished:December 1, 1988Publisher:Oxford University Press

The following ISBNs are associated with this title:

ISBN - 10:0195056108

ISBN - 13:9780195056105

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Extra Content

Table of Contents

1. Introduction2. Pearson's X Test3. Asymptotically Optimal Tests4. Neyman Smooth Tests for Simple Null Hypotheses5. Neyman Smooth Tests for Categorized Simple Null Hypotheses6. Neyman Smooth Tests for Uncategorized Composite Null Hypotheses7. Neyman Smooth Tests for Categorized Composite Null Hypotheses8. Conclusion

Editorial Reviews

"Very rich in examples . . . Should find its way to the desks of many statisticians." --Technometrics