The Statistical Analysis of Discrete Data /

The Statistical Analysis of Discrete Data provides an up-to-date introduction to methods for analyzing discrete data. The text covers both single-sample problems and problems with structured means which can be studied via loglinear and logistic models. Standard estimation and testing formulations ar...

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Bibliographic Details
Main Author: Santner, Thomas J.
Corporate Author: SpringerLink (Online service)
Other Authors: Duffy, Diane E.
Format: eBook
Language:English
Published: New York, NY : Springer New York, 1989.
Series:Springer texts in statistics.
Subjects:
Online Access:Connect to the full text of this electronic book
Description
Summary:The Statistical Analysis of Discrete Data provides an up-to-date introduction to methods for analyzing discrete data. The text covers both single-sample problems and problems with structured means which can be studied via loglinear and logistic models. Standard estimation and testing formulations are joined by formulations in terms of multiple comparisons, simultaneous interval construction, and ranking and selection. Where possible, connections with linear model theory for continuous responses are exploited to emphasize the relationships between the two areas. Recent research in areas such as graphical models for contingency tabels, Bayes and related estimation for loglinear models, and diagnostics for logistic regression is presented. Problems at the end of each chapter provide opportunities to both try out methods in the text on data from a wide variety of fields and to explore extensions of the material covered. The book is intended as a textbook for researchers both in- and outside of the statistics field who encounter discrete data.
Item Description:Electronic resource.
Physical Description:1 online resource (xii, 372 pages)
ISBN:9781461210177 (electronic bk.)
1461210178 (electronic bk.)
ISSN:1431-875X