Exact Statistical Methods for Data Analysis

  • Samaradasa¬†Weerahandi

Part of the Springer Series in Statistics book series (SSS)

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Samaradasa Weerahandi
    Pages 1-24
  3. Samaradasa Weerahandi
    Pages 25-47
  4. Samaradasa Weerahandi
    Pages 48-76
  5. Samaradasa Weerahandi
    Pages 77-107
  6. Samaradasa Weerahandi
    Pages 108-142
  7. Samaradasa Weerahandi
    Pages 143-168
  8. Samaradasa Weerahandi
    Pages 169-202
  9. Samaradasa Weerahandi
    Pages 203-241
  10. Samaradasa Weerahandi
    Pages 242-271
  11. Samaradasa Weerahandi
    Pages 272-300
  12. Back Matter
    Pages 301-329

About this book


Now available in paperback. This book covers some recent developments in statistical inference. The author's main aim is to develop a theory of generalized p-values and generalized confidence intervals and to show how these concepts may be used to make exact statistical inferences in a variety of practical applications. In particular, they provide methods applicable in problems involving nuisance parameters such as those encountered in comparing two exponential distributions or in ANOVA without the assumption of equal error variances. The generalized procedures are shown to be more powerful in detecting significant experimental results and in avoiding misleading conclusions.


data analysis analysis of variance ANOVA binomial distribution estimator Hypothese likelihood linear regression normal distribution Parameter Power statistical inference statistical methods statistics Variance

Authors and affiliations

  • Samaradasa¬†Weerahandi
    • 1
  1. 1.MilburnUSA

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag New York, Inc. 1995
  • Publisher Name Springer, New York, NY
  • eBook Packages Springer Book Archive
  • Print ISBN 978-0-387-40621-3
  • Online ISBN 978-1-4612-0825-9
  • Series Print ISSN 0172-7397
  • Buy this book on publisher's site
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