Estimation of Population Mean Using Exponential Ratio and Product Type Estimators Under Ranked Set Sampling in Presence of Measurement Error

Measurement errors may significantly impact the accuracy of estimates in sample surveys. Even a small presence of such errors may raise doubts among the stakeholders, especially when dealing with sensitive characteristics. In this paper, we have introduced improved ratio, product, and exponential type estimators of the population mean in ranked set sampling. We have examined the properties of the proposed estimators, such as bias and mean square error, and demonstrated their dominance over some contemporary estimators using real and simulated datasets. Finally, recommendations have been made to practitioners.