Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/104985
Title: Adaptive ranked-set sampling with multiple concomitant variables: An effective way to observational economy
Authors: Chen, Z. 
Keywords: Adaptive sampling
Concomitant variable
Observational economy
Ranked-set sampling
Regression estimate
Issue Date: Jun-2002
Citation: Chen, Z. (2002-06). Adaptive ranked-set sampling with multiple concomitant variables: An effective way to observational economy. Bernoulli 8 (3) : 313-322. ScholarBank@NUS Repository.
Abstract: The notion of ranked-set sampling (RSS) proposed by McIntyre provides an effective means of achieving observational economy in certain particular situations. The use of concomitant variables broadens the range of application of RSS. In this paper, we deal with RSS with multiple concomitant variables and develop an adaptive RSS procedure in a general context. The particular case of multiple linear regression estimates with RSS is treated in detail. The procedure is illustrated with a real data set. Some simulation results are also given. © 2002 ISI/BS.
Source Title: Bernoulli
URI: http://scholarbank.nus.edu.sg/handle/10635/104985
ISSN: 13507265
Appears in Collections:Staff Publications

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