Smooth Tests of Goodness of Fit

Smooth Tests of Goodness of Fit

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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 more

Product details

  • Hardback | 176 pages
  • 162.1 x 234.7 x 19.1mm | 449.06g
  • Oxford University Press Inc
  • New York, United States
  • English
  • line drawings, tables throughout
  • 0195056108
  • 9780195056105

Review quote

'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 fur Mathematik und ihre Grenzgebiete, Band 73, 1/92show more

Table of contents

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; more