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Statistical Models for Proportions and Probabilities [electronic resource] / by George A.F. Seber.

By: Contributor(s): Material type: TextTextSeries: SpringerBriefs in StatisticsPublisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013Description: VIII, 69 p. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783642390418
Subject(s): Additional physical formats: Printed edition:: No titleDDC classification:
  • 519.5 23
LOC classification:
  • QA276-280
Online resources:
Contents:
1.Single Proportion -- 2.Single Probability -- 3.Several Proportions or Probabilities -- 4.Multivariate Hypothesis Tests -- 5.Logarithmic Models.
In: Springer eBooksSummary: 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.
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1.Single Proportion -- 2.Single Probability -- 3.Several Proportions or Probabilities -- 4.Multivariate Hypothesis Tests -- 5.Logarithmic Models.

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.

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