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Estimation of Parameters for One‐Way Layout with Rank Set Sampling
Author(s) -
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.4710380416
Subject(s) - rss , estimator , simple random sample , set (abstract data type) , sampling (signal processing) , rank (graph theory) , statistics , computation , simple (philosophy) , efficiency , mathematics , computer science , sampling design , data set , algorithm , data mining , mathematical optimization , population , combinatorics , philosophy , demography , filter (signal processing) , epistemology , sociology , computer vision , programming language , operating system
Ranked set sampling (RSS) as suggested by McIntyre (1952) and independently by Takahasi and Wakimoto (1968) may be used to estimate the parameters of the one‐way layout. The objective is to use the RSS method to increase the efficiency of the estimators relative to the simple random (SRS) method. Estimators of the populations (treatments) effect are considered. Computer simulated results are given, and an example using real data presented to illustrate the computations.