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In this paper, the behavior of ranked set sampling is analyzed considering the knowledge of the auxiliary variable. The suggested estimators are compared with their simple random sampling counterparts. A numerical study is developed using data from a study developed on the contamination due to burning compost from solid waste from hospitals.

Ratio Type Estimation Using the Knowledge of the Auxiliary Variable for Ranking and Estimating