Full Text Available
Note: Clicking the button above will open the full text document at the original institutional repository in a new window.
Alternative goodness-of-fit test in logistic regression models
The Deviance and the Pearson chi-square are two traditional goodness-of-fit tests in generalized linear models for which the logistic model is a special case. The effort involved in the computation of either the Deviance or Pearson chi-square statistic is enormous and this provides a reason for pros...
Saved in:
| Format: | Article |
|---|---|
| Published: |
2011
|
| Subjects: | |
| Tags: |
No Tags, Be the first to tag this record!
|
MARC
| LEADER | 00000njm a2000000a 4500 | ||
|---|---|---|---|
| 001 | oai:repository.ui.edu.ng:123456789/5327 | ||
| 042 | |a dc | ||
| 720 | |a Nja, M. E. |e author | ||
| 720 | |a Enang, E. I. |e author | ||
| 720 | |a Chukwu, A. U. |e author | ||
| 720 | |a Udomboso, C. G. |e author | ||
| 260 | |c 2011 | ||
| 520 | |a The Deviance and the Pearson chi-square are two traditional goodness-of-fit tests in generalized linear models for which the logistic model is a special case. The effort involved in the computation of either the Deviance or Pearson chi-square statistic is enormous and this provides a reason for prospecting an alternative goodness-of-fit test in logistic regression models with discrete predictor variables. The Deviance is based on the log likelihood function while the Pearson chi-square derives from the discrepancies between observed and predicted counts. Replacing observed and predicted counts with observed proportions and predicted probabilities, respectively in a cross-classification data arrangement, the standard error of estimate is proposed as an alternative goodness-of-fit test in logistic regression models. The illustrative example returns favourable comparisons with Deviance and the Pearson chi-square statistics. | ||
| 024 | 8 | |a 1994-5388 | |
| 024 | 8 | |a ui_art_nja_alternative_2011 | |
| 024 | 8 | |a Journal of Modern Mathematics and Statistics 5(2), pp. 43-46 | |
| 024 | 8 | |a http://ir.library.ui.edu.ng/handle/123456789/5327 | |
| 653 | |a Deviance | ||
| 653 | |a Pearson chi-square | ||
| 653 | |a Standard error | ||
| 653 | |a Observed proportions | ||
| 653 | |a Predicted probabilities | ||
| 653 | |a p value | ||
| 653 | |a Nigeria | ||
| 245 | 0 | 0 | |a Alternative goodness-of-fit test in logistic regression models |