Smooth Tests of Goodness of Fit
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 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 knowledge of statistics and calculus, this is an introductory reference work that should appeal to all professionals involved in statistical modeling.
1100535421
Smooth Tests of Goodness of Fit
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 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 knowledge of statistics and calculus, this is an introductory reference work that should appeal to all professionals involved in statistical modeling.
70.19 In Stock
Smooth Tests of Goodness of Fit

Smooth Tests of Goodness of Fit

by J. C. W. Rayner, D. J. Best
Smooth Tests of Goodness of Fit

Smooth Tests of Goodness of Fit

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

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$70.19 

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Overview

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 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 knowledge of statistics and calculus, this is an introductory reference work that should appeal to all professionals involved in statistical modeling.

Product Details

ISBN-13: 9780195363609
Publisher: Oxford University Press
Publication date: 10/12/1989
Series: Oxford Statistical Science Series
Sold by: Barnes & Noble
Format: eBook
File size: 4 MB

About the Author

University of Otago

Food Research Laboratory, New South Wales

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
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