Applied Logistic Regression (Wiley Series in Probability and Mathematical Statistics. Applied Probability and Statistics Section)
David W. Hosmer, Stanley Lemeshow
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.
种类:
年:
1989
出版社:
John Wiley & Sons Inc
语言:
english
页:
307
ISBN 10:
0471615536
文件:
CHM, 809 KB
IPFS:
,
english, 1989