Applied Logistic Regression (Wiley Series in Probability and Statistics - Applied Probability and Statistics Section)

Hosmer Jr., David W.; Lemeshow, Stanley

ISBN 10: 0471615536 / ISBN 13: 9780471615538

Edité par Wiley-Interscience, 1989

A propos de cet article

Used - Very Good. N° de réf. du vendeur 4-Y-1-0211

Détails bibliographiques

Titre : Applied Logistic Regression (Wiley Series in...

Éditeur : Wiley-Interscience

Date d'édition : 1989

Reliure : hardcover

Etat : Very Good

Etat de la jaquette : Jaquette

Edition : 1st Edition.

A propos de ce titre

Synopsis :

This book discusses how to model a binary outcome variable from a linear regression analysis point of view. It develops the logistic regression model and describes its use in methods for modelling the relationship between a dichotomous outcome variable and a set of covariates. Discussion of the interpretation of this model follows. The text includes several data sets which are the source of the examples and exercises. The book also uses a number of software packages, including BMDP, EGRET, GLIM, SAS, and SYSTAT, to analyze data sets.

Revue de presse:

"This well written, organized, comprehensive, and useful book will be appreciated by graduate students and researchers." ( Journal of Statistical Computation and Simulation , January 2006) "...the revised text continues to provide a focused introduction to the logistic regression model and its use in methods for modelling..." ( Short Book Reviews , Vol. 21, No. 2, August 2001) "In this revised and updated edition of the popular test, the authors incorporate theoretical and computing advances from the last decade." ( Journal of the American Statistical Association , September 2001) "...an excellent book that balances many objectives well.... All statistical practitioners...can benefit from this book... Applied Logistic Regression is an ideal choice." ( Technometrics , February 2002) "...a focused introduction to the logistic regression model and its use in methods for modeling the relationship between a categorical outcome variable and a set of covariates." (Zentralblatt MATH, Vol. 967, 2001/17) "...it remains an extremely valuable text for everyone working or teaching in fields like epidemiology..." (Statistics in Medicine, No.21, 2002) "...The book is a classic, extremely well written, and it includes a variety of software packages and real examples...." (The Statistician, Vol. 51, No.2, 2002)

"This well written, organized, comprehensive, and useful book will be appreciated by graduate students and researchers." ( Journal of Statistical Computation and Simulation , January 2006) "...the revised text continues to provide a focused introduction to the logistic regression model and its use in methods for modelling..." ( Short Book Reviews , Vol. 21, No. 2, August 2001) "In this revised and updated edition of the popular test, the authors incorporate theoretical and computing advances from the last decade." ( Journal of the American Statistical Association , September 2001) "...an excellent book that balances many objectives well.... All statistical practitioners...can benefit from this book... Applied Logistic Regression is an ideal choice." ( Technometrics , February 2002) "...it remains an extremely valuable text for everyone working or teaching in fields like epidemiology..." (Statistics in Medicine, No.21, 2002) "...The book is a classic, extremely well written, and it includes a variety of software packages and real examples...." (The Statistician, Vol. 51, No.2, 2002)