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Ranked Set Sampling with Unequal Samples
Author(s) -
Bhoj Dinesh S.
Publication year - 2001
Publication title -
biometrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.298
H-Index - 130
eISSN - 1541-0420
pISSN - 0006-341X
DOI - 10.1111/j.0006-341x.2001.00957.x
Subject(s) - rss , estimator , statistics , population mean , sampling (signal processing) , mathematics , set (abstract data type) , population , stratified sampling , computer science , medicine , filter (signal processing) , computer vision , programming language , operating system , environmental health
Summary. A ranked set sampling procedure with unequal samples (RSSU) is proposed and used to estimate the population mean. This estimator is then compared with the estimators based on the ranked set sampling (RSS) and median ranked set sampling (MRSS) procedures. It is shown that the relative precisions of the estimator based on RSSU are higher than those of the estimators based on RSS and MRSS. An example of estimating the mean diameter at breast height of longleaf‐pine trees on the Wade Tract in Thomas County, Georgia, is presented.