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Statistical models for proportions and probabilities George A.F. Seber

Springer Nature - Springer Mathematics and Statistics (R0) eBooks 2013 English International Available online

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Format:
Book
Author/Creator:
Seber, G. A. F. (George Arthur Frederick), 1938- author.
Series:
SpringerBriefs in statistics
SpringerBriefs in Statistics 2191-544X
Language:
English
Subjects (All):
Mathematical statistics.
Physical Description:
1 online resource
Place of Publication:
Heidelberg Springer 2013
Language Note:
English
System Details:
text file
PDF
Summary:
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
Contents:
Single Proportion Single Probability Several Proportions or Probabilities Multivariate Hypothesis Tests Logarithmic Models
Notes:
Includes bibliographical references
Online resource; title from PDF title page (SpringerLink, viewed August 20, 2013)
Other Format:
Print version:
ISBN:
9783642390418
3642390412
9781299860872
1299860877
3642390404
9783642390401
OCLC:
856997485
Access Restriction:
Restricted for use by site license

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