Models for discrete data

Discrete or count data arise in experiments where the outcome variables are the numbers of individuals classified into unique, non-overlapping categories. This book describes the statistical models used in the analysis and summary of such data, and provides an introduction to the subject for graduate students and practitioners needing a review of the methodology. It includes topics not covered in depth elsewhere, such as the negative multinomial distribution; the many forms of the hypergeometric distribution; and coordinate free models.

First sentence: Every curriculum in statistics includes courses in areas such as linear regression, linear models, or design of experiments.

Year

1999

Language

English

Publisher

Oxford University Press, USA

Editions

4

Pages

296

ISBN

9780198567011

Data source: Wikidata