Estimating the endpoint of a uniform distribution under normal measurement errors with known error variance

The paper studies the problem of estimating the upper end point of a finite interval when the data come from a uniform distribution on this interval and are disturbed by normally distributed measurement errors with known variance. Maximum likelihood and method of moments estimators are introduced and compared to each other.

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Year of publication:	2003
Authors:	Schneeweiss, Hans
Publisher:	München : Techn. Univ.; Sonderforschungsbereich 386, Statistische Analyse Diskreter Strukturen

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Series:	Discussion paper // Sonderforschungsbereich 386 der Ludwig-Maximilians-Universität München ; 339
Type of publication:	Book / Working Paper
Type of publication (narrower categories):	Working Paper
Language:	English
Other identifiers:	48386983X [GVK] hdl:10419/31035 [Handle]
Source:	EconStor