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.



Inhalt

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.

Titel
Smooth Tests of Goodness of Fit
EAN
9780195363609
ISBN
978-0-19-536360-9
Format
PDF
Hersteller
Veröffentlichung
12.10.1989
Digitaler Kopierschutz
Adobe-DRM
Dateigrösse
7.32 MB
Anzahl Seiten
176
Jahr
1989
Untertitel
Englisch