Oxford Statistical Science Series 15. ix, 291 p. 24 cm. Figures and tables. Hardcover. Topics: one-way frequency tables; larger tables; regression models; ordinal variables; zero frequencies; fitting distributions; counting processes; Markov chains; structured transition matrices; overdispersion and cluster models; GLIM macros. Bibliography and index.

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Bibliographic Details

Title

Modelling Frequency and Count Data

Publisher

Clarendon Press, Oxford

Publication Date

2002

ISBN 10

0198523319

ISBN 13

9780198523314

Binding

Hardcover

Edition

Reprint.

Condition

As new

Seller catalogs

Science

About this title

Synopsis

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.

About the Author

J. K. Lindsey is at University of Liege.

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