Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/2548
Title: Testing for the partial Koziol-Green model with covariates
Authors: BRAEKERS, Roel 
VERAVERBEKE, Noel 
Issue Date: 2003
Publisher: ELSEVIER SCIENCE BV
Source: JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 115(1). p. 181-192
Abstract: In this paper we consider some non-parametric goodness-of-fit statistics for testing the partial Koziol-Green regression model. In this model, the response at a given covariate value is subject to random right censoring by two independent censoring times. One of these censoring times is informative in the sense that its survival function is some power of the survival function of the response. The goodness-of-fit statistics are based on an underlying empirical process for which large sample theory is obtained. (C) 2002 Elsevier Science B.V. All rights reserved.
Notes: Limburgs Univ Ctr, B-3590 Diepenbeek, Belgium.
Keywords: fixed design; goodness of fit; non-parametric regression; partially informative censoring; weak convergence
Document URI: http://hdl.handle.net/1942/2548
ISSN: 0378-3758
e-ISSN: 1873-1171
DOI: 10.1016/S0378-3758(02)00144-1
ISI #: 000182996400010
Category: A1
Type: Journal Contribution
Validations: ecoom 2004
Appears in Collections:Research publications

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