An introduction to generalized linear models - Info and Reading Options
By Annette J. Dobson

"An introduction to generalized linear models" was published by Chapman & Hall/CRC in 2002 - Boca Raton, it has 225 pages and the language of the book is English.
“An introduction to generalized linear models” Metadata:
- Title: ➤ An introduction to generalized linear models
- Author: Annette J. Dobson
- Language: English
- Number of Pages: 225
- Publisher: Chapman & Hall/CRC
- Publish Date: 2002
- Publish Location: Boca Raton
“An introduction to generalized linear models” Subjects and Themes:
- Subjects: ➤ Linear models (Statistics) - Linear Models - Modèles linéaires (Statistique) - MATHEMATICS - Probability & Statistics - General - Statistics as Topic - Statistical Models - Statistics - Mathematical statistics
Edition Specifications:
- Pagination: vii, 225 p. :
Edition Identifiers:
- The Open Library ID: OL3952050M - OL62334W
- Online Computer Library Center (OCLC) ID: 317751780 - 47922851
- Library of Congress Control Number (LCCN): 2001047417
- ISBN-10: 1584881658
- All ISBNs: 1584881658
AI-generated Review of “An introduction to generalized linear models”:
"An introduction to generalized linear models" Description:
The Open Library:
"An Introduction to Generalized Linear Models, Second Edition initiates intermediate students of statistics, and the many other disciplines that use statistics, in the practical use of these models and methods. The new edition incorporates many of the important developments of the last decade, including those in survival analysis, nominal and ordinal logistic regression, generalized estimating equations, and multi-level models. It also includes modern methods for checking model adequacy.". "The text assumes a working knowledge of basic statistical concepts and methods and an acquaintance with calculus and matrix algebra. It emphasizes graphical methods for exploratory data analysis, visualizing numerical optimization, and plotting residuals, and now includes examples from a wider range of application areas, including business, medicine, agriculture, biology, engineering, and the social sciences. Data sets and outline solutions to exercises are available on the internet."--BOOK JACKET.
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