2012
DOI: 10.1080/00949655.2011.595716
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Multi-objective optimization for optimum allocation in multivariate stratified sampling with quadratic cost

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Cited by 10 publications
(2 citation statements)
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“…GP, D 1 -distance and fuzzy programming were used to determine the Pareto optimal allocation of the expressed model. Khowaja et al [10] described the multiobjective NLP problem in the presence of a quadratic cost function for different circumstances, namely, partial, complete, or null stratified sampling information. Ghufran et al [11] discussed all integer NLP problems and used the measure of "minimizing the sum of the squares of the coefficient of variation for different characteristics."…”
Section: Plos Onementioning
confidence: 99%
“…GP, D 1 -distance and fuzzy programming were used to determine the Pareto optimal allocation of the expressed model. Khowaja et al [10] described the multiobjective NLP problem in the presence of a quadratic cost function for different circumstances, namely, partial, complete, or null stratified sampling information. Ghufran et al [11] discussed all integer NLP problems and used the measure of "minimizing the sum of the squares of the coefficient of variation for different characteristics."…”
Section: Plos Onementioning
confidence: 99%
“…The data are mainly from Sukhatme et al [59]. The measurement cost c h , the travelling cost t h , total budget of the survey C 0 , overhead cost c 0 , are from Khowaja et al [60] for the five strata.…”
Section: Numericalmentioning
confidence: 99%