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AuthorPanahbehagh, B.
AuthorBruggemann, R.
AuthorParvardeh, A.
AuthorSalehi, M.
AuthorSabzalian, M.R.
Available date2023-10-02T05:16:13Z
Publication Date2018
Publication NameJournal of Survey Statistics and Methodology
ResourceScopus
ISSN23250984
URIhttp://dx.doi.org/10.1093/JSSAM/SMX026
URIhttp://hdl.handle.net/10576/48153
AbstractIn ranked-set sampling, the restriction of selecting just one individual from each set may require too many sets. We propose a new version of ranked-set sampling that relaxes this restriction. Our new design uses stratified sampling in which ranked-set sampling is used to form the strata. Simulations, and a real case study on medicinal flowers, show that this design can be more precise and less costly than previous designs.
Languageen
PublisherAmerican Association for Public Opinion Research
SubjectCost consideration
Neyman allocation
Ranked-set sampling
Stratified sampling
TitleAn unbalanced ranked-set sampling method to get more than one sample from each set
TypeArticle
Pagination285-305
Issue Number3
Volume Number6
dc.accessType Abstract Only


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