Models for discrete data - Info and Reading Options
By Daniel Zelterman
"Models for discrete data" was published by Clarendon Press in 1999 - Oxford, it has 233 pages and the language of the book is English.
“Models for discrete data” Metadata:
- Title: Models for discrete data
- Author: Daniel Zelterman
- Language: English
- Number of Pages: 233
- Publisher: Clarendon Press
- Publish Date: 1999
- Publish Location: Oxford
“Models for discrete data” Subjects and Themes:
- Subjects: ➤ Multivariate analysis - Discrete groups - Biometry - Log-linear models - Sampling (Statistics) - Logistic Models - Linear Models - Methods
Edition Specifications:
- Pagination: x, 233 p. :
Edition Identifiers:
- The Open Library ID: OL386442M - OL1995554W
- Online Computer Library Center (OCLC) ID: 40218836
- Library of Congress Control Number (LCCN): 98049179
- ISBN-10: 0198524366
- All ISBNs: 0198524366
AI-generated Review of “Models for discrete data”:
Snippets and Summary:
Every curriculum in statistics includes courses in areas such as linear regression, linear models, or design of experiments.
"Models for discrete data" Description:
The Open Library:
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.
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