Determination of Compromise Integer Strata Sample Sizes Using Goal Programming

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dc.contributor.authorSemiz, Mustafa
dc.date.accessioned2020-03-26T16:46:59Z
dc.date.available2020-03-26T16:46:59Z
dc.date.issued2004
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractThis article deals with the determination of compromise integer strata sample sizes using goal programming in multivariate stratified sampling. Firstly, the problem of determining optimum integer strata sample sizes is formulated for the univariate case, and then based on these individual optimal solutions, individual goal variances are calculated. A new compromise criteria is defined for the goal programming approach based on predetermined or calculated goal variances. It is shown that the proposed approach provides relatively more efficient and feasible compromise integer strata sample sizes for multivariate surveys.en_US
dc.identifier.citationSemiz, M., (2004). Determination of Compromise Integer Strata Sample Sizes Using Goal Programming. Hacettepe Journal of Mathematics and Statistics, (33), 91-96.
dc.identifier.endpage96en_US
dc.identifier.issn1303-5010en_US
dc.identifier.issn2651-477Xen_US
dc.identifier.startpage91en_US
dc.identifier.urihttp://www.trdizin.gov.tr/publication/paper/detail/TkRRNU5ETXo=
dc.identifier.urihttps://hdl.handle.net/20.500.12395/18779
dc.identifier.volume33en_US
dc.indekslendigikaynakTR-Dizinen_US
dc.language.isoenen_US
dc.relation.ispartofHacettepe Journal of Mathematics and Statisticsen_US
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectİstatistik ve Olasılıken_US
dc.subjectMatematiken_US
dc.subjectStratified sampling
dc.subjectCompromise allocation
dc.subjectGoal programming
dc.subjectRelative efficiency
dc.titleDetermination of Compromise Integer Strata Sample Sizes Using Goal Programmingen_US
dc.typeArticleen_US

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