A new systematic ranked set-sampling scheme for symmetric distributions

2019 ◽  
Vol 8 (3) ◽  
pp. 205-210
Author(s):  
Lakhkar Khan ◽  
Javid Shabbir ◽  
Umair Khalil
2014 ◽  
Vol 86 (1) ◽  
pp. 1-28 ◽  
Author(s):  
Abdul Haq ◽  
Jennifer Brown ◽  
Elena Moltchanova

2020 ◽  
Vol 9 (1) ◽  
pp. 82-98
Author(s):  
Amineh Sadeghpour ◽  
Ahmad Nezakati ◽  
Mahdi Salehi

In this paper, point and interval estimation of stress-strength reliability based on lower record ranked set sampling scheme under the proportional reversed hazard rate model are considered. Maximum likelihood, uniformly minimum variance unbiased, and Bayesian estimators of $\mathcal{R}$ are derived and their performances are compared. Various confidence intervals for the parameter $\mathcal{R}$ are constructed, and compared based on the simulation study. Moreover, the record ranked set sampling scheme is compared with ordinary records in case of interval estimations. Finally, a data set has been analyzed for illustrative purposes.


Author(s):  
Muhammad Tayyab ◽  
Muhammad Noor ul-Amin ◽  
Muhammad Hanif

Even order ranked set sampling (EORSS) is a novel proposed ranked set sampling scheme connected with an auxiliary variable correlated with the study variable. This scheme quantifies only the one sampling unit which is at even position from each ranking set by employing specific criteria. The performance of the ratio estimator under EORSS is compared to its contemporary estimators in simple random sampling (SRS), ranked set sampling (RSS), median ranked set sampling (MRSS) and quartile ranked set sampling (QRSS) exploiting the same number of quantified units. The simulation results proved that EORSS is an efficient alternative sampling scheme for ratio estimation than SRS, RSS, MRSS and QRSS.


2021 ◽  
Vol 15 (1) ◽  
pp. 193-218
Author(s):  
Ehsan Golzade Gervi ◽  
Parviz Nasiri ◽  
Mahdi Salehi ◽  
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2000 ◽  
Vol 52 (2) ◽  
pp. 239-254 ◽  
Author(s):  
Amarjot Kaur ◽  
G. P. Patil ◽  
C. Taillie

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