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Saddlepoint Approximations for Multivariate M-Estimates with Applications to Bootstrap Accuracy

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Author Info
Chris Field
John Robinson
Elvezio Ronchetti
Abstract

We consider tests or confidence intervals on one of the components of multivariate M-estimates. We obtain marginal tail area approximations for the one-dimensional test statistic based on the appropriate component of the M-estimate for both standardized and Studentized versions. The result is proved under conditions which allow the application to finite sample situations such as the bootstrap and involves a careful discretization with saddlepoints being used for each neighbourhood. These results are used to obtain second order relative error results on the accuracy of the Studentized and the tilted bootstrap. The tail area approximations are applied to a Poisson regression model and shown to have very good accuracy.

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Publisher Info
Paper provided by Département d'Econométrie, Université de Genève in its series Cahiers du Département d'Econométrie with number 2004.08.

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Length: 26 pages
Date of creation: Aug 2004
Date of revision:
Handle: RePEc:gen:geneem:2004.08

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Related research
Keywords: empirical saddlepoint; relative errors; StudentizedM-estimates; tail area approximation; tilted bootstrap.;

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  1. Bing-Yi Jing, 2002. "Partial Saddlepoint Approximations for Transformed Means," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics, Finnish Statistical Society, Norwegian Statistical Association and Swedish Statistical Association, vol. 29(4), pages 721-731. [Downloadable!] (restricted)
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This page was last updated on 2009-11-28.


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