Smooth Tests of Goodness of Fit

Hardcover | December 1, 1988

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

not yet rated|write a review
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.

Pricing and Purchase Info

$176.00

In stock online
Ships free on orders over $25

From the Publisher

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 ...

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

other books by J. C. W. Rayner

Trees and Toadstools
Trees and Toadstools

Kobo ebook|Feb 28 2015

$11.80

Understanding Kidney Diseases
Understanding Kidney Diseases

Kobo ebook|Nov 30 2015

$113.99 online$142.50list price(save 20%)
Format: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

Look for similar items by category:

Customer Reviews of Smooth Tests of Goodness of Fit

Reviews

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