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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/3925

Title: DENSITY-ESTIMATION UNDER THE KOZIOL-GREEN MODEL OF CENSORING BY PENALIZED LIKELIHOOD METHODS
Authors: GIJBELS, I
KLONIAS, VK
Issue Date: 1991
Publisher: CANADIAN JOURNAL STATISTICS
Citation: CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE, 19(1). p. 23-38
Abstract: We propose two density estimators of the survival distribution in the setting of the Koziol-Green random-censoring model. The estimators are obtained by maximum-penalized-likelihood methods, and we provide an algorithm for their numerical evaluation. We establish the strong consistency of the estimators in the Hellinger metric, the L(p)-norms, p = 1,2,-infinity, and a Sobolev norm, under mild conditions on the underlying survival density and the censoring distribution.
Notes: LIMBURGS UNIV CENTRUM,DEPT MATH,B-3590 DIEPENBEEK,BELGIUM. UNIV CRETE,HERAKLION,GREECE.
URI: http://hdl.handle.net/1942/3925
ISI #: A1991FE96900002
ISSN: 0319-5724
Type: Journal Contribution
Appears in Collections: Research publications

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