A note on estimation via linearly combining two given staistics

Linear combination of two statistics is considered when some prior knowledge about their expectation and complete knowledge about their joint dispersion is available. The considered setup is more general than those already known in the literature, in the sense that the expectation of one of the statistics is not necessarily assumed to be completely known when estimation of the expectation of the other statistic is of interest.

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Year of publication:	1997
Authors:	Groß, Jürgen
Publisher:	Dortmund : Universität Dortmund, Sonderforschungsbereich 475 - Komplexitätsreduktion in Multivariaten Datenstrukturen
Subject:	Linear combination of statistics \| Gauss-Markov model \| minimum dispersion linear unbiased estimation \| covariance adjustment estimation \| prediction

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Series:	Technical Report ; 1997,02
Type of publication:	Book / Working Paper
Type of publication (narrower categories):	Working Paper
Language:	English
Other identifiers:	816124469 [GVK] hdl:10419/77259 [Handle] RePEc:zbw:sfb475:199702 [RePEc]
Source:	EconStor

Persistent link: https://www.econbiz.de/10010316602