Estimating the Population Mean by Using Stratified Double Extreme Ranked Set Sample

Stratified double extreme ranked set sampling
(SDERSS) method is introduced and considered for estimating the
population mean. The SDERSS is compared with the simple random
sampling (SRS), stratified ranked set sampling (SRSS) and stratified
simple set sampling (SSRS). It is shown that the SDERSS estimator
is an unbiased of the population mean and more efficient than the
estimators using SRS, SRSS and SSRS when the underlying
distribution of the variable of interest is symmetric or asymmetric.

• Mahmoud I. Syam
• Kamarulzaman Ibrahim
• Amer I. Al-Omari

• Double extreme ranked set sampling
• Extreme ranked set sampling
• Ranked set sampling
• Stratified double extreme ranked set sampling.

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