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 : Ludwig-Maximilians-Universität München, Sonderforschungsbereich 386 - Statistische Analyse diskreter Strukturen

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Series:	Discussion Paper ; 339
Type of publication:	Book / Working Paper
Type of publication (narrower categories):	Working Paper
Language:	English
Other identifiers:	10.5282/ubm/epub.1717 [DOI] 48386983X [GVK] hdl:10419/31035 [Handle]
Source:	EconStor

Persistent link: https://www.econbiz.de/10010266162