Estimating the population mean using stratified median ranked set sampling
Kamarulzaman Ibrahim, Muhammed I. Syam, Amer Ibrahim Al‐Omari
Abstract
Kamarulzaman Ibrahim, Muhammed I. Syam, Amer Ibrahim Al‐Omari
Abstract
In this paper, stratified median ranked set sampling (SMRSS) method is suggested for estimating the population mean. The SMRSS is compared with simple random sampling (SRS), stratified simple random sampling (SSRS) and stratified ranked set sampling (SRSS). It is shown that SMRSS estimator is an unbiased of the population mean of symmetric distributions and is more efficient than its counterparts using SRS, SSRS and SRSS.
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In this paper, stratified median ranked set sampling (SMRSS) method is suggested for estimating the population mean. The SMRSS is compared with simple random sampling (SRS), stratified simple random sampling (SSRS) and stratified ranked set sampling (SRSS). It is shown that SMRSS estimator is an unbiased of the population mean of symmetric distributions and is more efficient than its counterparts using SRS, SSRS and SRSS.
Key concepts: Stratified sampling, Simple random sample, Statistics, Mathematics, Sampling (signal processing), Estimator, Population mean, Sampling design