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MAXIMUM LIKELIHOOD ESTIMATION IN LOG-LINEAR MODELS

MAXIMUM LIKELIHOOD ESTIMATION IN LOG-LINEAR MODELS

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_projecteuclid_primary_oai_CULeuclid_euclid_aos_1342625459

MAXIMUM LIKELIHOOD ESTIMATION IN LOG-LINEAR MODELS

About this item

Full title

MAXIMUM LIKELIHOOD ESTIMATION IN LOG-LINEAR MODELS

Publisher

Hayward: Institute of Mathematical Statistics

Journal title

The Annals of statistics, 2012-04, Vol.40 (2), p.996-1023

Language

English

Formats

Publication information

Publisher

Hayward: Institute of Mathematical Statistics

More information

Scope and Contents

Contents

We study maximum likelihood estimation in log-linear models under conditional Poisson sampling schemes. We derive necessary and sufficient conditions for existence of the maximum likelihood estimator (MLE) of the model parameters and investigate estimability of the natural and mean-value parameters under a nonexistent MLE. Our conditions focus on t...

Alternative Titles

Full title

MAXIMUM LIKELIHOOD ESTIMATION IN LOG-LINEAR MODELS

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_projecteuclid_primary_oai_CULeuclid_euclid_aos_1342625459

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_projecteuclid_primary_oai_CULeuclid_euclid_aos_1342625459

Other Identifiers

ISSN

0090-5364

E-ISSN

2168-8966

DOI

10.1214/12-AOS986

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