On the Mean Estimation using Stratified Double Median Ranked Set Sampling
Mahmoud Ibrahim Syam1, Amer Ibrahim Al-Omari2 & Kamarulzaman Ibrahim3 Show affiliations
- Department of Mathematics, Al Al-Bayt University, Jordan
- University Kebangsaan Malaysia, Malaysia
- School of Mathematical Sciences, University Kebangsaan Malaysia, Jordan
American Journal of Applied Sciences, Volume 14, Issue 4, pp. 496–502 · doi.org/10.3844/ajassp.2017.496.502
Abstract
Stratified Double Median Ranked Set Sampling (SDMRSS) method is suggested for estimating the population mean. The SDMRSS is compared with the Simple Random Sampling (SRS), Stratified Simple Random Sampling (SSRS) and Stratified Ranked Set Sampling (SRSS) methods. It is shown that SDMRSS estimator is an unbiased of the population mean and is more efficient than the SRS, SSRS and SRSS counterparts. Also, SDMRSS increase the efficiency of mean estimation for specific value of the sample size. The SDMRSS is applied on real data set.
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Syam, M. I., Al-Omari, A. I. & Ibrahim, K. (2017). On the Mean Estimation using Stratified Double Median Ranked Set Sampling. American Journal of Applied Sciences, 14(4), 496–502. https://doi.org/10.3844/ajassp.2017.496.502
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