Models for discrete data
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Every curriculum in statistics includes courses in areas such as linear regression, linear models, or design of experiments.
About this book
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.
Themes & subjects
Multivariate analysisDiscrete groupsBiometryLog-linear modelsSampling (Statistics)Logistic Models
First published 1999Reviews
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