Obtaining the observed information matrix for the Poisson log linear model with incomplete data

JOSEPH B. Lang

doi:10.1093/biomet/79.2.405

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Obtaining the observed information matrix for the Poisson log linear model with incomplete data

Journal article

Peer reviewed

Obtaining the observed information matrix for the Poisson log linear model with incomplete data

JOSEPH B. Lang

Biometrika, Vol.79(2), pp.405-407

1992

DOI: 10.1093/biomet/79.2.405

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Abstract

SUMMARY: We consider inferences about Poisson log linear models for which only certain disjoint sums of the data are observable. We derive an explicit formula for the observed information matrix associated with the log linear parameters that is intuitively appealing and simple to evaluate. © 1992 Biometrika Trust.

Details

Title: Subtitle: Obtaining the observed information matrix for the Poisson log linear model with incomplete data
Creators: JOSEPH B. Lang - University of Florida
Resource Type: Journal article
Publication Details: Biometrika, Vol.79(2), pp.405-407
DOI: 10.1093/biomet/79.2.405
ISSN: 0006-3444
eISSN: 1464-3510
Language: English
Date published: 1992
Academic Unit: Biostatistics; Statistics and Actuarial Science
Record Identifier: 9984257612802771

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