Abstract

One of the key techniques used for monitoring and assessment of data gathering and estimation in Ranked Set Sampling (RSS). It is regularly employed to achieve observational economy. This article proposes 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.