Daryl Pregibon
Biographic Data
| ID | 10717201 |
|---|---|
| NAME | Daryl Pregibon |
| GIVEN NAMES | Daryl |
| FAMILY NAME | Pregibon |
| SIGNATURE | PREGIBON D |
| AFFILIATIONS | University of Toronto |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 1980 |
| LATEST PUBLICATION YEAR | 1981 |
| H-INDEX | 0 |
Logistic Regression Diagnostics
A maximum likelihood fit of a logistic regression model (and other similar models) is extremely sensitive to outlying responses and extreme points in the design space. We develop diagnostic measures to aid the analyst in detecting such observations and in quantifying their effect on various aspects of the maximum likelihood fit. The elements of the fitting process which constitute the usual output (parameter estimates, standard errors, residuals,…
Goodness of Link Tests for Generalized Linear Models
Data analytic procedures are proposed to examine the adequacy of the hypothesized link used in fitting a generalized linear model. Through model expansion and linearization, tests and estimation techniques are provided. These procedures, along with the release of GLIM3, enable the user to examine routinely and objectively the fit of an hypothesized model. Examples are presented to illustrate the testing and fitting procedure.
No prominent works on this page.
Goodness of Link Tests for Generalized Linear Models
Data analytic procedures are proposed to examine the adequacy of the hypothesized link used in fitting a generalized linear model. Through model expansion and linearization, tests and estimation techniques are provided. These procedures, along with the release of GLIM3, enable the user to examine routinely and objectively the fit of an hypothesized model. Examples are presented to illustrate the testing and fitting procedure.
Logistic Regression Diagnostics
A maximum likelihood fit of a logistic regression model (and other similar models) is extremely sensitive to outlying responses and extreme points in the design space. We develop diagnostic measures to aid the analyst in detecting such observations and in quantifying their effect on various aspects of the maximum likelihood fit. The elements of the fitting process which constitute the usual output (parameter estimates, standard errors, residuals,…
Advanced Statistical Methods and Models (2 works) · Econometrics (2 works) · Mathematics (2 works) · Optimal Experimental Design Methods (2 works) · Statistical Methods and Bayesian Inference (2 works) · Statistics (2 works) · Applied Mathematics (1 work) · Combinatorics (1 work) · Goodness of fit (1 work) · Link (geometry) (1 work)