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Optimal sampling design under the Response Homogeneous Group response mechanism-A prediction approach

Authors
Lee, InguePark, Mingue
Issue Date
Mar-2017
Publisher
KOREAN STATISTICAL SOC
Keywords
Model-based approach; Response Homogeneity Group; Optimal sampling design; Nonresponse
Citation
JOURNAL OF THE KOREAN STATISTICAL SOCIETY, v.46, no.1, pp.137 - 145
Indexed
SCIE
SCOPUS
KCI
Journal Title
JOURNAL OF THE KOREAN STATISTICAL SOCIETY
Volume
46
Number
1
Start Page
137
End Page
145
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/84306
DOI
10.1016/j.jkss.2016.09.001
ISSN
1226-3192
Abstract
An optimal strategy of design and estimator is suggested under the regression superpopulation model and Response Homogeneous Group (RHG) response mechanism. We derived the Best Linear Model Unbiased Estimator (BLMUE) of the population under the assumed model and response mechanism. We also give the conditions under which the BMLUE has the smallest variance. We perform a small simulation study to compare the several strategies including the suggested one in this paper. (C) 2016 The Korean Statistical Society. Published by Elsevier B.V. All rights reserved.
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