Modelling frequency and count data
Lindsey, James K.
creator
text
bibliography
enk
Oxford
New York
Clarendon Press
Oxford University Press
1995
monographic
eng
ix, 291 p. : ill. ; 24 cm.
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.
general
J.K. Lindsey.
Includes bibliographical references (p. 275-282) and index.
AS
Multivariate analysis
QA278 .L5538 1995
519.536 LIM 1995
Oxford statistical science series ; 15
0198523319 :
94046457
http://www.loc.gov/catdir/enhancements/fy0603/94046457-d.html
http://www.loc.gov/catdir/enhancements/fy0603/94046457-t.html
http://www.worldcat.org/title/modelling-frequency-and-count-data/oclc/695409394&referer=brief_results
http://lib.ewubd.edu/ebook/7988
http://www.loc.gov/catdir/enhancements/fy0603/94046457-d.html
http://www.loc.gov/catdir/enhancements/fy0603/94046457-t.html
http://www.worldcat.org/title/modelling-frequency-and-count-data/oclc/695409394&referer=brief_results
http://lib.ewubd.edu/ebook/7988
DLC
160817
20180206120403.0
7988
eng