Title: Estimation of proportion in stratified median ranked set sampling
Authors: Nursel Koyuncu - Hacettepe University (Turkey) [presenting]
Abstract: The ranked set sampling is a sampling scheme that involves preliminary ranking of the study variable. It can be more efficient than simple random sampling scheme. In the literature the authors have modified ranked set sampling to get more efficient estimates such as median ranked set, extreme ranked set etc. Stratified sampling is also sampling method which used in the heterogeneous population. We have examined the estimation of population proportion in stratified median ranked set sampling theoretically. To compare the superiority of proposed method, we have conducted a simulation study. In the simulation, a real data set is used which determine the air quality in Ankara since June 2016 to May 2017. Using this data set we estimate the air quality under different sampling scheme. The findings show that our proposed method gives more efficient results than classical stratified random sampling.