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This is the preliminary program for the 2007 Joint Statistical Meetings in Salt Lake City, Utah.

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Activity Number: 224
Type: Invited
Date/Time: Tuesday, July 31, 2007 : 8:30 AM to 10:20 AM
Sponsor: Section on Survey Research Methods
Abstract - #307877
Title: Jackknife and Bootstrap Methods for Small-Area Estimation: An Appraisal
Author(s): J. N. K. Rao*+
Companies: Carleton University
Address: School of Mathematics and Statistics, Ottawa, ON, K1S 5B6, Canada
Keywords: Confidence intervals ; Conditional properties ; MSE estimation ; Small area models
Abstract:

Jackknife and bootstrap methods have been proposed for small area estimation in recent years; in particular for mean squared error (MSE) estimation and confidence intervals. In this talk I will provide an overview and appraisal of the proposed methods. I will also present some results on a jackknife method for non-linear small area models that leads to area-specific MSE estimators.

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Revised September, 2007