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Maximum Likelihood Estimates for Binary Data with Random Effects

✍ Scribed by Haiganoush K. Preisler

Publisher
John Wiley and Sons
Year
2007
Tongue
English
Weight
584 KB
Volume
30
Category
Article
ISSN
0323-3847

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✦ Synopsis

The purpose of this paper is to present a procedure for obtaining approximate maximum likelihood mtimates for compound binary response models. The extra binomial variation ie incorporated into the model by adding random effects t o the fixed effects on the probit (or logit) scale. Numerical integration techniques are used to arrive at a solution of the likelihood equations.

The paper also presents an illustrating numerical example based on a large toxicological data set. The computations are carried out within the GLIM statistical package.

πŸ“œ SIMILAR VOLUMES

Maximum likelihood estimation for comple
Maximum likelihood estimation for complete or incomplete discrete data
✍ S. Selvin πŸ“‚ Article πŸ“… 1980 πŸ› Elsevier Science βš– 351 KB

A computer program is presented that provides estimates of parameters from mathematical models describing discrete data. The program calculates maximum likelihood estimates for both complete and incomplete cases. Also included are the standard errors of the estimates, the expected values and a chi-s