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Non‐Parametric Selected Ranked Set Sampling
Author(s) -
Hossain Syed S.
Publication year - 2001
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 - 10.1002/1521-4036(200102)43:1<97::aid-bimj97>3.0.co;2-7
Subject(s) - simple random sample , statistics , sampling (signal processing) , estimator , mathematics , rss , population mean , stratified sampling , nonparametric statistics , sampling design , set (abstract data type) , systematic sampling , population , parametric statistics , computer science , medicine , environmental health , filter (signal processing) , computer vision , programming language , operating system
A nonparametric selected ranked set sampling is suggested. The estimator of population mean based on the new approach is compared with that using the simple random sampling (SRS), the ranked set sampling (RSS) and the median ranked set sampling (MRSS) methods. The estimator of population mean using the new approach is found to be more efficient than its counter‐parts for almost all the cases considered.