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May 2003 Impact of Bootstrap on the Estimating Functions
Subhash R. Lele
Statist. Sci. 18(2): 185-190 (May 2003). DOI: 10.1214/ss/1063994973

Abstract

Estimating functions form an attractive statistical methodology because of their dependence on only a few features of the underlying probabilistic structure. They also put a premium on developing methods that obtain model-robust confidence intervals. Bootstrap and jackknife ideas can be fruitfully used toward this purpose. Another important area in which bootstrap has proved its use is in the context of detecting the problem of multiple roots and searching for the consistent root of an estimating function. In this article, I review, compare and contrast various approaches for bootstrapping estimating functions.

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Subhash R. Lele. "Impact of Bootstrap on the Estimating Functions." Statist. Sci. 18 (2) 185 - 190, May 2003. https://doi.org/10.1214/ss/1063994973

Information

Published: May 2003
First available in Project Euclid: 19 September 2003

zbMATH: 1331.62184
MathSciNet: MR2026079
Digital Object Identifier: 10.1214/ss/1063994973

Rights: Copyright © 2003 Institute of Mathematical Statistics

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Vol.18 • No. 2 • May 2003
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