Smooth tests of goodness of fit
著者
書誌事項
Smooth tests of goodness of fit
Oxford University Press, 1989
大学図書館所蔵 全24件
注記
Bibliography: p. 148-156
Includes indexes
内容説明・目次
内容説明
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.
目次
- 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.
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