Inferential issues in model-based small area estimation: some  new development

J. N. K. Rao

doi:https://doi.org/10.59170/stattrans-2015-026

Inferential issues in model-based small area estimation: some new development

J. N. K. Rao Carleton University, Ottawa, Canada Statistics in Transition new series, vol. 16, 2015, 4, pages: 491-510 Published online: 1 December 2015 https://doi.org/10.59170/stattrans-2015-026

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ABSTRACT

Small area estimation (SAE) has seen a rapid growth over the past 10 years or so. Earlier work is covered in the author's book (Rao 2003). The main purpose of this paper is to highlight some new developments in model-based SAE since the publication of the author's book. A large part of the new theory addressed practical issues associated with the model-based approach, and we present some of those methods for area level and unit level models. We also briefly mention some new work on synthetic estimation of area means or totals based on implicit models.

KEYWORDS

area level models, complex parameters, informative sampling, model misspecification, robust estimation, unit level models.

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