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Empirical best prediction of small area bivariate parameters

Empirical best prediction of small area bivariate parameters

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2736599931

Empirical best prediction of small area bivariate parameters

About this item

Full title

Empirical best prediction of small area bivariate parameters

Publisher

Oxford: Blackwell Publishing Ltd

Journal title

Scandinavian journal of statistics, 2022-12, Vol.49 (4), p.1699-1727

Language

English

Formats

Publication information

Publisher

Oxford: Blackwell Publishing Ltd

More information

Scope and Contents

Contents

This paper introduces empirical best predictors of small area bivariate parameters, like ratios of sums or sums of ratios, by assuming that the target unit‐level vector follows a bivariate nested error regression model. The corresponding means squared errors are estimated by parametric bootstrap. Several simulation experiments empirically study the...

Alternative Titles

Full title

Empirical best prediction of small area bivariate parameters

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2736599931

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2736599931

Other Identifiers

ISSN

0303-6898

E-ISSN

1467-9469

DOI

10.1111/sjos.12618

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