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Exact Statistical Methods for Data Analysis

  • Book
  • © 1995


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

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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.

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Table of contents (10 chapters)

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:

  • 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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