Distribution function estimation using concomitant-based ranked set sampling

Yıl 2018, Cilt: 47 Sayı: 3, 755 - 761, 01.06.2018

Ehsan Zamanzade M. Mahdizadeh

Öz

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.

Anahtar Kelimeler

Relative efficiency, Concomitant variable, Judgment ranking

Kaynakça

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