Robust Estimation of the Location Parameter from a Two-Parameter Exponential Distribution

dc.contributor.author	Pawlitschko, Jörg	de
dc.date.accessioned	2004-12-06T18:50:47Z
dc.date.available	2004-12-06T18:50:47Z
dc.date.issued	2001	de
dc.description.abstract	This paper deals with the problem of estimating the location parameter of a two-parameter exponential distribution in case of contaminated data. Since in this case the sample minimum is an extremely unreliable estimator, robust alternatives are necessary. We investigate two types of estimators closer. The first type is based on a simple relation for the median. The second type has originally been suggested for Type-II-censored samples, but it also has good robustness properties. We discuss the breakdown properties of the two types of estimators and compare their performance for various patterns of data contamination in an extensive simulation study.	en
dc.format.extent	1186487 bytes
dc.format.extent	326952 bytes
dc.format.mimetype	application/pdf
dc.format.mimetype	application/postscript
dc.identifier.uri	http://hdl.handle.net/2003/5268
dc.identifier.uri	http://dx.doi.org/10.17877/DE290R-15219
dc.language.iso	en	de
dc.publisher	Universitätsbibliothek Dortmund	de
dc.subject.ddc	310	de
dc.title	Robust Estimation of the Location Parameter from a Two-Parameter Exponential Distribution	en
dc.type	Text	de
dc.type.publicationtype	report	en
dcterms.accessRights	open access

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