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BD-DhEWU
20180206120403.0
160817s1995 enka g b 001 0 eng|d
94046457
0198523319 :
695409394
DLC
DLC
DLC
BD-DhEWU
eng
eng
QA278
.L5538 1995
519.536
LIM 1995
Lindsey, James K.
19487
Modelling frequency and count data /
J.K. Lindsey.
Oxford :
Clarendon Press ;
New York :
Oxford University Press,
1995.
ix, 291 p. :
ill. ;
24 cm.
Oxford statistical science series ;
15
20175
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.
AS
Tahur Ahmed
Multivariate analysis.
20466
Publisher description
http://www.loc.gov/catdir/enhancements/fy0603/94046457-d.html
Table of contents only
http://www.loc.gov/catdir/enhancements/fy0603/94046457-t.html
Worldcat details
http://www.worldcat.org/title/modelling-frequency-and-count-data/oclc/695409394&referer=brief_results
E-book Fulltext
http://lib.ewubd.edu/ebook/7988
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