ScholarLens Back to search
2017•American Journal of Applied SciencesOpen access

On the Mean Estimation using Stratified Double Median Ranked Set Sampling

Muhammed I. Syam, Amer Ibrahim Al‐Omari, Kamarulzaman Ibrahim

Open full text 2 citations

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.

Open-access reader

About this research paper

What this paper is about

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.

Why it matters

OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available 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.

Key concepts: Stratified sampling, Simple random sample, Statistics, Mathematics, Estimator, Population mean, Sampling (signal processing), Cluster sampling

Related papers

Related paper 1Related paper 2Related paper 3
Back to paper searchBrowse research topicsOriginal source
On the Mean Estimation using Stratified Double Median Ranked Set Sampling — Research Paper | ScholarLens