Comparison of two sampling schemes for generating record-breaking data from the proportional hazard rate models

Mahdi Salehi, Jafar Ahmadi and Sanku Dey

Communications in Statistics - Theory and Methods, 2016, vol. 45, issue 13, 3721-3733

Abstract: In this article, we consider a sampling scheme in record-breaking data set-up, as record ranked set sampling. We compare the proposed sampling with the well-known sampling scheme in record values known as inverse sampling scheme when the underlying distribution follows the proportional hazard rate model. Various point estimators are obtained in each sampling schemes and compared with respect to mean squared error and Pitman measure of closeness criteria. It is observed in most of the situations that the new sampling scheme provides more efficient estimators than their counterparts. Finally, one data set has been analyzed for illustrative purposes.

Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:taf:lstaxx:v:45:y:2016:i:13:p:3721-3733

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DOI: 10.1080/03610926.2014.909938

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