Some Efficient Methods to Remove Bias in Ratio and Product Types Estimators in Ranked Set Sampling

Ranked set sampling is one method to potentially increase precision and reduce costs by using quantitative or qualitative information obtain a more representative sample. Use of auxiliary has shown its significance in improvement efficiency estimators unknown population parameters. Ratio estimator used when the form mean variable at estimation stage for parameters study are positively correlated. In case negative correlation between variable, Product defined mean. This paper proposed problem reducing bias ratio product ranked (RSS). suggested several type unbiased finite on known sampling. An important objective any statistical procedure interest with precision. The Variance obtained up first degree approximation. Theoretically, it that these efficient than Simple random A numerical illustration also carried out demonstrate merits RSS over usual SRS.