NDLI: Sampling from partially rank-ordered sets

Content Provider	Springer Nature Link
Author	Ozturk, Omer
Copyright Year	2010
Abstract	In this paper we introduce a new sampling design. The proposed design is similar to a ranked set sampling (RSS) design with a clear difference that rankers are allowed to declare any two or more units are tied in ranks whenever the units can not be ranked with high confidence. These units are replaced in judgment subsets. The fully measured units are then selected from these partially ordered judgment subsets. Based on this sampling scheme, we develop unbiased estimators for the population mean and variance. We show that the proposed sampling procedure has some advantages over standard ranked set sampling.
Starting Page	757
Ending Page	779
Page Count	23
File Format	PDF
ISSN	13528505
Journal	Environmental and Ecological Statistics
Volume Number	18
Issue Number	4
e-ISSN	15733009
Language	English
Publisher	Springer US
Publisher Date	2010-11-16
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Ranked set sampling Imperfect ranking Sampling design Observational economy Variance estimation Statistics Evolutionary Biology Mathematical and Computational Biology Ecology
Content Type	Text
Resource Type	Article
Subject	Statistics and Probability Environmental Science Statistics, Probability and Uncertainty

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Sampling from partially rank-ordered sets