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Estimation of Ratio Using Rank Set Sampling
Author(s) -
Samawi Hani M.,
Muttlak Hassen A.
Publication year - 1996
Publication title -
biometrical journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.108
H-Index - 63
eISSN - 1521-4036
pISSN - 0323-3847
DOI - 10.1002/bimj.4710380616
Subject(s) - rss , simple random sample , statistics , estimator , sampling (signal processing) , rank (graph theory) , mathematics , set (abstract data type) , ratio estimator , efficiency , data set , computer science , bias of an estimator , minimum variance unbiased estimator , combinatorics , population , demography , filter (signal processing) , sociology , computer vision , programming language , operating system
Abstract Ranked set sampling (RSS) as suggested by McIntyre (1952) and developed by Takahasi and Wakimoto (1968) is used to estimate the ratio. It is proved that by using RSS method the efficiency of the estimator relative to the simple random sampling (SRS) method has increased. Computer simulated results are given. An example using real data is presented to illustrate the computations.