Asymptotically Efficient Noniterative Estimators of A Common Parameter From Independent Samples

Asymptotically Efficient Noniterative Estimators of A Common Parameter From Independent Samples

This paper presents a general approach for constructing asymptotically efficient noniterative estimators of a common parameter based on several independent, but related populations. As an important application we discuss the estimation of a common relative risk in stratified samples. Various relativ...

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Veröffentlicht in:Statistics (Berlin, DDR) DDR), 1996-01, Vol.28 (3), p.187-200
Hauptverfasser: gather, Ursula, köhne, Stephan, pigeot, Iris
Format: Artikel
Sprache:eng
Schlagworte:
AMS Classification
Asymptotic efficiency
estimation
relative risk
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Beschreibung
Zusammenfassung:This paper presents a general approach for constructing asymptotically efficient noniterative estimators of a common parameter based on several independent, but related populations. As an important application we discuss the estimation of a common relative risk in stratified samples. Various relative risk estimators are compared by Monte-Carlo results. An example is given for illustrating their application.
ISSN:0233-1888
1029-4910
DOI:10.1080/02331889708802560