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Composite Link Functions in Generalized Linear Models

1981/01/01 by R. Thompson, R. J. Baker, Robert J. Baker · 3 citations
Computer Science · Mathematics · #Advanced Statistical Methods and Models #Bayesian Modeling and Causal Inference #Statistical Methods and Bayesian Inference

paper · doi:10.2307/2346381

crossref issued 1981/01/01 · crossref published 1981/01/01 · crossref published-print 1981/01/01 · openalex publication_date 1981/01/01 · crossref created 2006/06/18 · crossref deposited 2021/07/20 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/27 · crossref indexed 2026/07/27

Abstract

SUMMARY In generalized linear models each observation is linked with a predicted value based on a linear function of some systematic effects. We sometimes require to link each observation with a linear function of more than one predicted value. We embed such models into the generalized linear model framework using composite link functions. The computer program GLIM-3 can be used to fit these models. Illustrative examples are given including a mixed-up contingency table and grouped normal data.

Citations

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