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Exact Statistical Methods for Data Analysis

  • Book
  • © 1995

Overview

Authors:
  1. Samaradasa Weerahandi

    1. Milburn, USA

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

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Table of contents (10 chapters)

  1. Front Matter

    Pages i-xiv
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  2. Preliminary Notions

    • Samaradasa Weerahandi
    Pages 1-24

  3. Notions in Significance Testing of Hypotheses

    • Samaradasa Weerahandi
    Pages 25-47

  4. Review of Special Distributions

    • Samaradasa Weerahandi
    Pages 48-76

  5. Exact Nonparametric Methods

    • Samaradasa Weerahandi
    Pages 77-107

  6. Generalized p-Values

    • Samaradasa Weerahandi
    Pages 108-142

  7. Generalized Confidence Intervals

    • Samaradasa Weerahandi
    Pages 143-168

  8. Comparing Two Normal Populations

    • Samaradasa Weerahandi
    Pages 169-202

  9. Analysis of Variance

    • Samaradasa Weerahandi
    Pages 203-241

  10. Mixed Models

    • Samaradasa Weerahandi
    Pages 242-271

  11. Regression

    • Samaradasa Weerahandi
    Pages 272-300

  12. Back Matter

    Pages 301-329
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Keywords

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.

Authors and Affiliations

  • Milburn, USA

    Samaradasa Weerahandi

Bibliographic Information

  • Book Title: Exact Statistical Methods for Data Analysis

  • Authors: Samaradasa Weerahandi

  • Series Title: Springer Series in Statistics

  • DOI: https://doi.org/10.1007/978-1-4612-0825-9

  • Publisher: Springer New York, NY

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer Science+Business Media New York 1995

  • Hardcover ISBN: 978-0-387-94360-2Published: 16 December 1994

  • Softcover ISBN: 978-0-387-40621-3Published: 17 October 2003

  • eBook ISBN: 978-1-4612-0825-9Published: 01 December 2013

  • Series ISSN: 0172-7397

  • Series E-ISSN: 2197-568X

  • Edition Number: 1

  • Number of Pages: XIV, 329

  • Topics: Statistical Theory and Methods, Probability Theory and Stochastic Processes

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