Smooth Tests of Goodness of Fit

Erscheinungsjahr 1990
ISBN: 978-0-19-505610-5
Verlag: OXFORD UNIV PR

Buch, Englisch, 176 Seiten, Format (B × H): 162 mm x 235 mm, Gewicht: 449 g

Reihe: Oxford Statistical Science Series

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.

Autoren/Hrsg.

Rayner, J. C.

Rayner, J. C. W.

Best, D. J.

Fachgebiete

• Mathematik | Informatik Mathematik Stochastik Wahrscheinlichkeitsrechnung
• Mathematik | Informatik Mathematik Stochastik Mathematische Statistik

Inhaltsverzeichnis

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.