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Activity Number: 203
Type: Contributed
Date/Time: Monday, August 7, 2006 : 2:00 PM to 3:50 PM
Sponsor: Biometrics Section
Abstract - #305759
Title: Smoothed Bootstrap-Based Bandwidth Estimation
Author(s): Derek Bean*+ and Sundar Subramanian
Companies: University of Maine and University of Maine
Address: Department of Mathematics and Statistics, Orono, ME, 04469-5752,
Keywords: cross validation ; Epanechnikov kernel ; integrated mean squared error ; missing censoring indicators ; numerical integration
Abstract:

Survival function estimators in the so-called missing censoring model of random right censorship require (kernel) estimates of certain conditional quantities. Therefore, for computing the survival function estimators, the user would need to supply the bandwidth, a key parameter for kernel estimators. We employ the smoothed bootstrap approach from kernel density estimation, proposed by Faraway and Jhun, to produce a data-based bandwidth for computing the kernel estimators. We present simulation results.

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