Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/105082
Title: Density estimation using ranked-set sampling data
Authors: Chen, Z. 
Keywords: Mean integrated square error
Relative efficiency
Issue Date: 1999
Citation: Chen, Z. (1999). Density estimation using ranked-set sampling data. Environmental and Ecological Statistics 6 (2) : 135-146. ScholarBank@NUS Repository.
Abstract: The ranked-set sampling (RSS) is applicable in practical problems where the variable of interest for an observed item is costly or time-consuming but the ranking of a set of items according to the variable can be easily done without actual measurement. In the context of RSS, the need for density estimation arises in certain statistical procedures. The density estimation also has its own interest. In this article, we develop a method for the density estimation using RSS data. We derive the properties of the resulted density estimate and compare it with its counterpart in simple random sampling (SRS). It is shown that the density estimate using RSS data provides a better estimate of the density than the usual density estimate using SRS data. The density estimate developed in this article can well serve various purposes in the context of RSS.
Source Title: Environmental and Ecological Statistics
URI: http://scholarbank.nus.edu.sg/handle/10635/105082
ISSN: 13528505
Appears in Collections:Staff Publications

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