Smooth Tests of Goodness of Fit

ISBN-13: 9780195056105 / Angielski / Twarda / 1989 / 176 str.

J. C. Rayner; D. J. Best

Opis

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.

Recenzje

'This book gives a very readable account of the smooth tests of goodness of fit. The book can be read by scientists having only an introductory knowledge of statistics. It contains a fairly extensive list of references; research will find it helpful for the further development of smooth tests.' T.K. Chandra, Zentralblatt für Mathematik und ihre Grenzgebiete, Band 73, 1/92

Spis treści

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.