Generalized robust-regression-type estimators under different ranked set sampling

KOYUNCU N., Al-Omari A. I.

MATHEMATICAL SCIENCES, vol.15, pp.29-40, 2021 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 15
  • Publication Date: 2021
  • Doi Number: 10.1007/s40096-020-00360-7
  • Journal Name: MATHEMATICAL SCIENCES
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.29-40
  • Hacettepe University Affiliated: Yes

Abstract

In this paper, we have proposed a new generalized robust estimators of population mean under different ranked set sampling. Robust estimators are recently defined by Zaman and Bulut (Commun Stat Theory Methods 48(8):2039-2048, 2019a) and Ali et al. (Commun Stat Theory Methods, 2019. ) under simple random sampling. We have generalized robust-type estimators where Zaman and Bulut (2019a) and Ali et al. (2019) estimators are members of our generalized estimator. We have also extended our results to ranked set and median ranked set sampling designs. The simulation study showed that our proposed robust-type estimator performs better.