Modelling Frequency and Count Data (Hardcover)

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 sciences. This text presents the standard models and many newly developed ones in a language that can be immediately applied in many modern statistical packages such as GLIM, GENSTAT, S-Plus, as well as SAS and LISP-STAT. The book is structure around the distinction between independent events occurring to different individuals, resulting in frequencies, and repeated events occurring to the same individuals, yielding counts. The book demonstrates that much of modern statistics can be seen as special cases of categorical data models; both generalized linear models and proportional hazards models can be fitted as log linear models. More specialized topics such as Markov chains, overdispersion and random effects, are also covered.

General

Imprint:	Clarendon Press
Country of origin:	United Kingdom
Series:	Oxford Statistical Science Series, 15
Release date:	April 1995
First published:	June 1995
Authors:	J.K. Lindsey (Professor of Biostatistics, Limburgs University; Professor of Quantitative Methodology)
Dimensions:	242 x 162 x 22mm (L x W x T)
Format:	Hardcover
Pages:	300
ISBN-13:	978-0-19-852331-4
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Promotions
LSN:	0-19-852331-9
Barcode:	9780198523314

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