Title: Models for discrete data
First published: 1999
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.
Subjects: Multivariate analysis, Discrete groups, Biometry, Log-linear models, Sampling (Statistics), Logistic Models, Linear Models, Methods
LC classification: QA278 .Z45 1999