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OLS Field Name OLS Field Data
Main Title An introduction to generalized linear models /
Author Dobson, Annette J.,
Publisher Chapman & Hall/CRC,
Year Published 2002
OCLC Number 47922851
ISBN 1584881658; 9781584881650
Subjects Linear models (Statistics) ; Lineaire modellen. ; Regressieanalyse. ; Lehrbuch. ; Modellierung. ; Statistik. ; Verallgemeinertes lineares Modell.
Internet Access
Description Access URL
http://www.loc.gov/catdir/enhancements/fy0646/2001047417-d.html
Table of contents http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=009563277&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
Publisher description http://catdir.loc.gov/catdir/enhancements/fy0646/2001047417-d.html
Inhaltsverzeichnis http://bvbr.bib-bvb.de:8991/F?func=service&doc%5Flibrary=BVB01&doc%5Fnumber=009563277&line%5Fnumber=0001&func%5Fcode=DB%5FRECORDS&service%5Ftype=MEDIA
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
ELBM  QA276.D589 2002 AWBERC Library/Cincinnati,OH 01/19/2009
Edition 2nd ed.
Collation vii, 225 pages : illustrations ; 24 cm.
Notes
Includes bibliographical references (pages 215-219) and index.
Contents Notes
"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."--Jacket.