Please use this identifier to cite or link to this item: https://doi.org/10.1016/S0378-3758(02)00145-3
Title: Two-layer ranked set sampling with concomitant variables
Authors: Chen, Z. 
Shen, L.
Keywords: Concomitant variable
Observational economy
Ranked set sampling
Regression estimate
Issue Date: 1-Jul-2003
Citation: Chen, Z., Shen, L. (2003-07-01). Two-layer ranked set sampling with concomitant variables. Journal of Statistical Planning and Inference 115 (1) : 45-57. ScholarBank@NUS Repository. https://doi.org/10.1016/S0378-3758(02)00145-3
Abstract: The notion of ranked set sampling (RSS) proposed by McIntyre (Aust. J. Agri. Res. 3 (1952) 385) provides a methodology for developing efficient sampling schemes. In many practical problems, the variable of interest is costly to measure but is associated with several easily obtainable concomitant variables. In this article, we apply the idea of RSS and develop a sampling scheme which is referred to as the two-layer RSS by using concomitant variables. The properties of the two-layer RSS are investigated and compared with those of other competitive sampling schemes. Some simulation studies are given. The two-layer RSS provides an useful tool to achieve observational economy. It has potential applications in areas such as environmental and ecological studies, population survey, and medical studies, etc. © 2002 Elsevier Science B.V. All rights reserved.
Source Title: Journal of Statistical Planning and Inference
URI: http://scholarbank.nus.edu.sg/handle/10635/105448
ISSN: 03783758
DOI: 10.1016/S0378-3758(02)00145-3
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