Models for discrete data
By: Daniel Zelterman.
Publisher: Clarendon Press
Published: 1999
Place of publication: Oxford; New York
Language: eng
Number of pages: 233
Subjects: Multivariate analysis.
Description: 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.
Notes: Includes bibliographical references (p. [215]-220) and indexes.