Design-based estimators of the distribution function in ranked set sampling with an application

@article{Sevil2022DesignbasedEO,
  title={Design-based estimators of the distribution function in ranked set sampling with an application},
  author={Yusuf Can Sevil and Tugba Ozkal Yildiz},
  journal={Statistics},
  year={2022},
  volume={56},
  pages={891 - 918}
}
Empirical distribution functions (EDFs) based on ranked set sampling (RSS) and its modifications have been examined by many authors. In these studies, the proposed estimators have been investigated for infinite population settings. However, developing EDF estimators in finite population settings would be more valuable for areas such as environmental, ecological, agricultural, biological, medical, etc. This paper introduces new EDF estimators based on level-0, level-1 and level-2 sampling… 

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