Mr. Jan Höft
University of Wisconsin-Milwaukee
PhD Graduate Student
“We introduce a semi-parametric U-Statistics estimator for randomly right censored data. We will study the strong law of large numbers for this estimator under proper assumptions about the conditional expectation of the censoring indicator with respect to the observed life times. Moreover we will see simulation studies, where the semi-parametric estimator is compared to a U-statistics based on Kaplan-Meier in terms of bias, variance and mean squared error, under different censoring models.”
Committee Members:
Profs. Jay Beder (Advisor); Gerhard Dikta, Jugal Ghorai, Chao Zhu & Vytaras Brazauskas