On group sequential tests based on robust location and scale estimators in the two-sample problem

dc.contributor.author	Christmann, Andreas	de
dc.date.accessioned	2004-12-06T18:38:28Z
dc.date.available	2004-12-06T18:38:28Z
dc.date.issued	1998	de
dc.description.abstract	The behaviour of group sequential tests in the two-sample problem is investigated if one replaces the classical non-robust estimators in the t-test statistic by modern robust estimators of location and scale. Hampel's 3-part redescending M-estimator 25A used in the Princeton study and the robust scale estimators length of the shortest half proposed by Rousseeuw & Leroy and Q proposed by Rousseeuw & Croux are considered. Of special interest are level, power and the average sample size number of the tests. It is investigated, whether commerical software can be used to apply these tests.	en
dc.format.extent	184077 bytes
dc.format.extent	366444 bytes
dc.format.mimetype	application/pdf
dc.format.mimetype	application/postscript
dc.identifier.uri	http://hdl.handle.net/2003/4849
dc.identifier.uri	http://dx.doi.org/10.17877/DE290R-15064
dc.language.iso	en	de
dc.publisher	Universitätsbibliothek Dortmund	de
dc.subject	average sample size number	en
dc.subject	group sequential test	en
dc.subject	length of the shortest half	en
dc.subject	outliers	en
dc.subject	redescending m-estimator	en
dc.subject	robustness	en
dc.subject	scale estimator q	en
dc.subject.ddc	310	de
dc.title	On group sequential tests based on robust location and scale estimators in the two-sample problem	en
dc.type	Text	de
dc.type.publicationtype	report	en
dcterms.accessRights	open access

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