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Statistical Models for Proportions and Probabilities

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  • 69 Seiten
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Methods for making inferences from data about one or more probabilities and proportions are a fundamental part of a statistician... Weiterlesen
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Beschreibung

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.



Autorentext
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.

Inhalt
1.Single Proportion.- 2.Single Probability.- 3.Several Proportions or Probabilities.- 4.Multivariate Hypothesis Tests.- 5.Logarithmic Models.

Produktinformationen

Titel: Statistical Models for Proportions and Probabilities
Autor:
EAN: 9783642390418
ISBN: 978-3-642-39041-8
Format: E-Book (pdf)
Hersteller: Springer Berlin Heidelberg
Herausgeber: Springer
Genre: Grundlagen
Veröffentlichung: 30.07.2013
Digitaler Kopierschutz: Wasserzeichen
Dateigrösse: 1.04 MB
Anzahl Seiten: 69
Jahr: 2013

Weitere Bände aus der Buchreihe "SpringerBriefs in Statistics"