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In order to estimate the population mean in the presence of both non-responseand measurement errors that are uncorrelated, the paper presents some novelestimators employing ranked set sampling by utilizing auxiliary information.Upto the first order of approximation, the equations for the bias and meansquared error of the suggested estimators are produced, and it is found thatthe proposed estimators outperform the other existing estimators analysed inthis study. Investigations using simulation studies and numerical examples showhow well the suggested estimators perform in the presence of measurement andnon-response errors. The relative efficiency of the suggested estimatorscompared to the existing estimators has been expressed as a percentage, and theimpact of measurement errors has been expressed as a percentage computation ofmeasurement errors.

Preliminary Estimators of Population Mean using Ranked Set Sampling in the Presence of Measurement Error and Non-Response Error