On the power of the Kolmogorov test to detect the trend of a Brownian bridge with applications to a change-point problem in regression models

Details

Serval ID
serval:BIB_CD1EA756A6C5
Type
Article: article from journal or magazin.
Collection
Publications
Title
On the power of the Kolmogorov test to detect the trend of a Brownian bridge with applications to a change-point problem in regression models
Journal
Statistics & Probability Letters
Author(s)
Bischoff W., Hashorva E., Huesler J., Miller F.
ISSN
0167-7152
Publication state
Published
Issued date
2004
Peer-reviewed
Oui
Volume
66
Number
2
Pages
105-115
Language
english
Abstract
Given a Brownian bridge B-0 with trend g : [0, 1] --> [0, infinity),
Y(z) = g(z) + B-0(z), z is an element of [0, 1], (1)
we are interested in testing H-0 : g equivalent to 0 against the alternative K : g > 0. For this test problem we study weighted Kolmogorov tests
reject H-0 double left right arrow sup(zis an element of[0,1]) w(z)Y(z) > c,
where c > 0 is a suitable constant and w : [0, 1] --> [0, infinity) is a weight function. To do such an investigation a recent result of the authors on a boundary crossing probability of the Brownian bridge is useful. In case the trend is large enough we show an optimality property for weighted Kohnogorov tests. Furthermore, an additional property for weighted Kolmogorov tests is shown which is useful to find the more favourable weight for specific test problems. Finally, we transfer our results to the change-point problem whether a regression function is or is not constant during a certain period.
Keywords
Brownian bridge with trend, Tests of Kolmogorov type, Regression models, Change-point problem
Web of science
Create date
03/09/2010 12:04
Last modification date
20/08/2019 16:47
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