© 2013

Statistical Models for Proportions and Probabilities


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


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.


Log Linear Models Logistic Models Multinominal Distributions Probability Proportions Textbook

Authors and affiliations

  1. 1.The University of Auckland Department of StatisticsAucklandNew Zealand

About the authors

George Seber is an Emeritus Professor of Statistics at Auckland University, New Zealand. He is an elected Fellow of the Royal Society of New Zealand and recipient of their Hector medal in Science. He has authored or coauthored 13 books and 77 research articles on a wide variety of topics including linear and nonlinear models, multivariate analysis, adaptive sampling, genetics, epidemiology, and statistical ecology.

Bibliographic information

  • Book Title Statistical Models for Proportions and Probabilities
  • Authors George A.F. Seber
  • Series Title SpringerBriefs in Statistics
  • Series Abbreviated Title SpringerBriefs in Statistics
  • DOI
  • Copyright Information The Author(s) 2013
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Mathematics and Statistics Mathematics and Statistics (R0)
  • Softcover ISBN 978-3-642-39040-1
  • eBook ISBN 978-3-642-39041-8
  • Series ISSN 2191-544X
  • Series E-ISSN 2191-5458
  • Edition Number 1
  • Number of Pages VIII, 69
  • Number of Illustrations 0 b/w illustrations, 0 illustrations in colour
  • Topics Statistical Theory and Methods
  • Buy this book on publisher's site


From the book reviews:

“This monograph is written by George Seber, a famous author of more than a dozen books and dozens of papers in statistics and matrix analysis. … It is amazing that the author could present a huge amount of valuable information in such a relatively small volume which can serve as a handbook on proportion and probability statistics for lecturers, undergraduate and graduate students, researchers, and statistical consultants.” (Stan Lipovetsky, Technometrics, Vol. 56 (2), May, 2014)