Normal view MARC view ISBD view

Modelling frequency and count data / J.K. Lindsey.

By: Lindsey, James K.
Material type: TextTextSeries: Oxford statistical science series ; 15. Publisher: Oxford : New York : Clarendon Press ; Oxford University Press, 1995Description: ix, 291 p. : ill. ; 24 cm.ISBN: 0198523319 :.Subject(s): Multivariate analysisDDC classification: 519.536 Online resources: Publisher description | Table of contents only | Worldcat details | E-book Fulltext Summary: Categorical data analysis is a special area of generalized linear models which has become the most important area of statistical applications in many disciplines, from medicine to social science. Written for advanced undergraduates, but also useful for statisticians and research workers, this text presents the standard models as well as many newly developed ones in a language which can be applied in many modern statistical packages such as GLIM, GENMSTAT, S-Plus, and SAS and LISP-STAT. Structured around the distinction between independent events occurring to different individuals and repeated events occurring to the same individuals, the book demonstrates that much of modern statistics can be seen as special cases of categorical data models. Other topics covered include Markov chains, overdispersion, and random effects.
Tags from this library: No tags from this library for this title. Log in to add tags.
    Average rating: 0.0 (0 votes)
Item type Current location Collection Call number Copy number Status Date due Barcode Item holds
E-Book E-Book EWU Library
E-book
Non-fiction 519.536 LIM 1995 (Browse shelf) Not For Loan
Text Text EWU Library
Reserve Section
Non-fiction 519.536 LIM 1995 (Browse shelf) C-1 Not For Loan 27487
Text Text EWU Library
Circulation Section
Non-fiction 519.536 LIM 1995 (Browse shelf) C-2 Available 28179
Total holds: 0

Includes bibliographical references (p. 275-282) and index.

Categorical data analysis is a special area of generalized linear models which has become the most important area of statistical applications in many disciplines, from medicine to social science. Written for advanced undergraduates, but also useful for statisticians and research workers, this text presents the standard models as well as many newly developed ones in a language which can be applied in many modern statistical packages such as GLIM, GENMSTAT, S-Plus, and SAS and LISP-STAT. Structured around the distinction between independent events occurring to different individuals and repeated events occurring to the same individuals, the book demonstrates that much of modern statistics can be seen as special cases of categorical data models. Other topics covered include Markov chains, overdispersion, and random effects.

Applied Statistics

There are no comments for this item.

Log in to your account to post a comment.

Library Home | Contacts | E-journals
Copyright @ 2011-2019 EWU Library
East West University