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Dergiler / Hacettepe Journal of Mathematics and Statistics / 2018 / Cilt: 47 - Sayı: 3

Distribution function estimation using concomitant-based ranked set sampling

M. MAHDİZADEH
Ehsan ZAMANZADE
Sayfa
755–761
Yayın Tarihi
2022-10-18
DOI
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

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.

📌 3 Maddede Bu Makale

🎯
Amaç & Hipotez:Ranked set sampling (RSS) is a data collection method designed to exploit auxiliary ranking information.
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Temel Bulgular & Veri:In this paper, a new estimator of distribution function is proposed when RSS is done by using a concomitant variable.
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Sonuç & Katkı: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.
🔬Tür:Araştırma Makalesi
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Relative efficiency · Concomitant variable · Judgment ranking

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.

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Bu Makaleye Atıf Yap

MAHDİZADEH, M., ZAMANZADE, E. (2022). Distribution function estimation using concomitant-based ranked set sampling. Hacettepe Journal of Mathematics and Statistics, Cilt: 47 - Sayı: 3, 755–761. https://ajindex.com/articles/529872

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Kaynakça (16)

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