JSM 2004 - Toronto

Abstract #300178

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Activity Number: 362
Type: Invited
Date/Time: Wednesday, August 11, 2004 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistics and the Environment
Abstract - #300178
Title: Essential Modifications of Bootstrap for Some Common Problems
Author(s): David V. Hinkley*+
Companies: University of California, Santa Barbara
Address: Dept. of Statistics and Applied Probability, Santa Barbara, CA, 93106,
Keywords: bootstrap
Abstract:

The simplicity of the basic bootstrap idea and its application makes it very attractive for calculating standard errors, confidence limits, and so forth. However, for some fairly common but complex modeling problems, modifications are necessary to incorporate the correct pattern of variability in the simulated datasets. The main focus of this talk will be on regression methods, including generalized linear model fitting and variable selection methods (including principal component regression, wavelet smoothing, etc).


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Revised March 2004