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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/2054

Title: Bootstrapping modified goodness-of-fit statistics with estimated parameters
Authors: JANSSEN, Paul
SWANEPOEL, Jan
VERAVERBEKE, Noel
Issue Date: 2005
Publisher: ELSEVIER SCIENCE BV
Citation: STATISTICS & PROBABILITY LETTERS, 71(2). p. 111-121
Abstract: Goodness-of-fit tests are proposed for testing a composite null hypothesis that is a general parametric family of distribution functions. They are distribution-free under the null hypothesis and have a limiting normal distribution under the null and the alternative hypothesis. To avoid the estimation of the asymptotic variance under the alternative hypothesis, we propose consistent bootstrap estimators. (C) 2004 Elsevier B.V. All rights reserved.
Notes: Limburgs Univ Ctr, B-3590 Diepenbeek, Belgium. Potchefstroom Univ Christian Higher Educ, Potchefstroom, South Africa.Veraverbeke, N, Limburgs Univ Ctr, Univ Campus, B-3590 Diepenbeek, Belgium.noel.veraverbeke@luc.ac.be
URI: http://hdl.handle.net/1942/2054
DOI: 10.1016/j.spl.2004.10.005
ISI #: 000227498300001
ISSN: 0167-7152
Category: A1
Type: Journal Contribution
Validation: ecoom, 2006
Appears in Collections: Research publications

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