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ON SOME RECENT DEVELOPMENTS IN RANKED SET SAMPLING
2005
Bulletin of Informatics and Cybernetics
McIntyre (1952) proposed a cost-effective survey sampling method that is currently known as ranked set sampling (RSS) in the literature. In this method a fairly large number of randomly identified sampling units are partitioned into small subsets of the same size. The units of each subset are ranked separately with respect to the characteristic of interest without obtaining their actual measurements. The information used for this purpose is supposed to be easily available and inexpensive, and
doi:10.5109/12596
fatcat:jugvjzdxirhkncceqpyry5cboq