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Mixed generalized Akaike information criterion for small area models

Mixed generalized Akaike information criterion for small area models

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_1961331994

Mixed generalized Akaike information criterion for small area models

About this item

Full title

Mixed generalized Akaike information criterion for small area models

Publisher

Oxford: John Wiley & Sons Ltd

Journal title

Journal of the Royal Statistical Society. Series A, Statistics in society, 2017-10, Vol.180 (4), p.1229-1252

Language

English

Formats

Publication information

Publisher

Oxford: John Wiley & Sons Ltd

More information

Scope and Contents

Contents

A mixed generalized Akaike information criterion xGAIC is introduced and validated. It is derived from a quasi-log-likelihood that focuses on the random effect and the variability between the areas, and from a generalized degree-of-freedom measure, as a model complexity penalty, which is calculated by the bootstrap. To study the performance of xGAI...

Alternative Titles

Full title

Mixed generalized Akaike information criterion for small area models

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_1961331994

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_1961331994

Other Identifiers

ISSN

0964-1998

E-ISSN

1467-985X

DOI

10.1111/rssa.12300

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