Modified median quartile double ranked set sampling for estimation of population mean

Abstract

Environmental monitoring and assessment aim to gather data economically, without bias, using efficient and cost-effective sampling methods. One such traditional method is Ranked Set Sampling (RSS), often employed to achieve observational economy. This article introduces an innovative two-stage sampling approach for ranked set sampling (RSS) to get a more precise estimate of the population mean. Modified Median Quartile Double Ranked Set Sampling (MMQDRSS) highlights the ranked base technique's potential as a cost-effective sampling method. To evaluate the performance of the proposed estimator by using real-life data and conducting a simulation study to compare the relative efficiency of the proposed estimator with some existing methods.

Keywords

• Ranked set sampling (RSS)
• Median double ranked set sampling (MDRSS)
• Quartile double ranked set sampling (QDRSS)
• Extreme double ranked set sampling (EDRSS)
• Population mean