Allocation of Stratified Random Sample Using Meta Goal Programming | ||||
المجلة العلمية لقطاع کليات التجارة بجامعة الأزهر | ||||
Article 13, Volume 19, Issue 1, 2018, Page 114-142 PDF (506.43 K) | ||||
Document Type: المقالة الأصلية | ||||
DOI: 10.21608/jsfc.2018.57119 | ||||
View on SCiNiTO | ||||
Author | ||||
Ebrahim Moussa | ||||
Ebrahim Moussa, Ramadan Hamed, Asmaa Helmy . Faculty of Commerce, Al-Azhar University | ||||
Abstract | ||||
In this paper, a meta goal programming model (MGP) is introduced to determine the optimum allocation of stratified random sample. The main objectives in this research are using the suggested model which is flexible enough to interactive with the decision maker and find practical solutions, in addition to minimize the estimated variance in the sampling, beside minimize the variance of estimated variance, and also minimize the cost and time of users in the study. | ||||
Highlights | ||||
Meta Goal Programming, Optimum | ||||
Keywords | ||||
Meta Goal Programming; Optimum Allocation; Stratified Random Sample | ||||
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