Semiz, Mustafa2020-03-262020-03-262004Semiz, M., (2004). Determination of Compromise Integer Strata Sample Sizes Using Goal Programming. Hacettepe Journal of Mathematics and Statistics, (33), 91-96.1303-50102651-477Xhttp://www.trdizin.gov.tr/publication/paper/detail/TkRRNU5ETXo=https://hdl.handle.net/20.500.12395/18779This 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.eninfo:eu-repo/semantics/openAccessİstatistik ve OlasılıkMatematikStratified samplingCompromise allocationGoal programmingRelative efficiencyArticle339196