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Generalized Linear Models

Generalized Linear Models BOOK REVIEWS 287 Biostatistical Metho ds in E pidemiology provided. As in th e de velopment for lin ear mod els, some of the detail s are pushed in to an ap pendix. I n add ition to con necting to the forego ing mate - Stephen C. Ne wman 301 rial on re gression o n se veral occasions, th e a uthors li nk their d evelopment forward to th eir fo llowing chap ter o n the e ntire f amily o f g eneralized lin ear Statistics in the 21st Ce ntury models. Th ey d iscuss scor e functions, th e v ariance-covariance matrix, W ald Adrian E . Raftery , M artin A. T anner, a nd inference, likelihood i nference, deviance, an d overd ispersion. Care ful expla- Martin T . W ell s (editors) 302 nations a re given fo r th e values p rovided in stan dard comp uter soft ware, here PROC LOG ISTI C in SAS . Th e va lue in ha ving t he b ook b egin with f amiliar regression con cepts is clearly realized when th e analo gies are drawn b http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Technometrics Taylor & Francis

Generalized Linear Models

Technometrics , Volume 44 (3): 2 – Aug 1, 2002
2 pages

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References (12)

Publisher
Taylor & Francis
Copyright
© American Statistical Association and the American Society for Quality
ISSN
1537-2723
eISSN
0040-1706
DOI
10.1198/004017002320256422
Publisher site
See Article on Publisher Site

Abstract

BOOK REVIEWS 287 Biostatistical Metho ds in E pidemiology provided. As in th e de velopment for lin ear mod els, some of the detail s are pushed in to an ap pendix. I n add ition to con necting to the forego ing mate - Stephen C. Ne wman 301 rial on re gression o n se veral occasions, th e a uthors li nk their d evelopment forward to th eir fo llowing chap ter o n the e ntire f amily o f g eneralized lin ear Statistics in the 21st Ce ntury models. Th ey d iscuss scor e functions, th e v ariance-covariance matrix, W ald Adrian E . Raftery , M artin A. T anner, a nd inference, likelihood i nference, deviance, an d overd ispersion. Care ful expla- Martin T . W ell s (editors) 302 nations a re given fo r th e values p rovided in stan dard comp uter soft ware, here PROC LOG ISTI C in SAS . Th e va lue in ha ving t he b ook b egin with f amiliar regression con cepts is clearly realized when th e analo gies are drawn b

Journal

TechnometricsTaylor & Francis

Published: Aug 1, 2002

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