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Statistical Models for Proportions and Probabilities

  • George A.F. Seber

Part of the SpringerBriefs in Statistics book series (BRIEFSSTATIST)

Table of contents

  1. Front Matter
    Pages i-viii
  2. George A. F. Seber
    Pages 1-8
  3. George A. F. Seber
    Pages 9-17
  4. George A. F. Seber
    Pages 19-40
  5. George A. F. Seber
    Pages 41-57
  6. George A. F. Seber
    Pages 59-69

About this book

Introduction

Methods for making inferences from data about one or more probabilities and proportions are a fundamental part of a statistician’s toolbox and statistics courses. Unfortunately many of the quick, approximate methods currently taught have recently been found to be inappropriate. This monograph gives an up-to-date review of recent research on the topic and presents both exact methods and helpful approximations. Detailed theory is also presented for the different distributions involved, and can be used in a classroom setting. It will be useful for those teaching statistics at university level and for those involved in statistical consulting.

Keywords

Log Linear Models Logistic Models Multinominal Distributions Probability Proportions Textbook

Authors and affiliations

  • George A.F. Seber
    • 1
  1. 1.The University of Auckland Department of StatisticsAucklandNew Zealand

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-39041-8
  • Copyright Information The Author(s) 2013
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-3-642-39040-1
  • Online ISBN 978-3-642-39041-8
  • Series Print ISSN 2191-544X
  • Series Online ISSN 2191-5458
  • Buy this book on publisher's site