Accession Number:

ADA070882

Title:

Alternative Computational Methods for Estimation of Logit Model Parameters.

Descriptive Note:

Technical rept.,

Corporate Author:

MINNESOTA UNIV ST PAUL DEPT OF APPLIED STATISTICS

Report Date:

1979-06-01

Pagination or Media Count:

7.0

Abstract:

In this paper we compare three different computational approaches for maximum likelihood estimation in logit situations iterative proportional fitting, iteratively reweighted least squares as implemented in GLIM , a variant of Newtons method applied in a somewhat different form for loglinear and logit formulations.

Subject Categories:

  • Statistics and Probability

Distribution Statement:

APPROVED FOR PUBLIC RELEASE