Distribution function estimation using concomitant-based ranked set sampling

Year 2018, Volume: 47 Issue: 3, 755 - 761, 01.06.2018

Ehsan Zamanzade M. Mahdizadeh

https://izlik.org/JA29UM69TR

Abstract

Ranked set sampling (RSS) is a data collection method designed to exploit auxiliary ranking information. In this paper, a new estimator of distribution function is proposed when RSS is done by using a concomitant variable. It is shown by simulation study that the alternative estimator can be considerably more efficient than the standard one, especially when the rankings are perfect.

Keywords

Relative efficiency , Concomitant variable , Judgment ranking

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