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9:50 EVALUATING BIAS OF THE KAPLAN-MEIER ESTIMATOR FOR THE SMALL-SAMPLE CASE Karl Calderon, Tollie Thigpen III*, Sarah Williams, and Javier Rogo, University of Arizona, Tucson, AZ; Alcorn State University Alcorn State, MS 39096; University of Colorado, Denver, CO; and Rice University, Houston, TX A study of the bias of the Kaplan-Meier Estimator was performed in the case of the small-sample.
A survival function will be specified, and the Kaplan-Meier estimator of the survivorship function (Kaplan and Meier, 1958) will be applied in order to estimate the survival rate of a vehicle.
1989) employed the kernel smoothing method to obtain a hazard-rate function estimator based on a modified form of the Kaplan-Meier estimator.