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Title:Sequential confidence bands for densities
Author(s):Xu, Yi
Doctoral Committee Chair(s):Martinsek, Adam T.
Department / Program:Statistics
Discipline:Statistics
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:Ph.D.
Genre:Dissertation
Subject(s):Statistics
Abstract:We propose a fully sequential procedure for constructing a fixed width confidence band for an unknown density on a finite interval and show the procedure has the desired coverage probability asymptotically as the width of the band approaches zero. The procedure is based on a result of Bickel and Rosenblatt (1973, Ann. Statist. 1, 1071-1095). Its implementation in the sequential setting cannot be obtained using Anscombe's theorem, because the normalized maximal deviations between the kernel estimate and the true density are not uniformly continuous in probability (u.c.i.p.). Instead, we obtain a slightly weaker version of the u.c.i.p. property and a correspondingly stronger convergence property of the stopping rule. These together yield the desired results. We also present some simulation results and applications of the basic method to stopping rules of interest. Similar result is also obtained for censored data case.
Issue Date:1995
Type:Text
Language:English
URI:http://hdl.handle.net/2142/23054
Rights Information:Copyright 1995 Xu, Yi
Date Available in IDEALS:2011-05-07
Identifier in Online Catalog:AAI9543778
OCLC Identifier:(UMI)AAI9543778


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