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.
نقاط رئيسية
Meta Goal Programming, Optimum Allocation, Stratified Random Sample.
Moussa, Ebrahim. (2018). Allocation of Stratified Random Sample Using Meta Goal Programming. المجلة العلمية لقطاع کليات التجارة بجامعة الأزهر, 19(1), 114-142. doi: 10.21608/jsfc.2018.57119
MLA
Ebrahim Moussa. "Allocation of Stratified Random Sample Using Meta Goal Programming", المجلة العلمية لقطاع کليات التجارة بجامعة الأزهر, 19, 1, 2018, 114-142. doi: 10.21608/jsfc.2018.57119
HARVARD
Moussa, Ebrahim. (2018). 'Allocation of Stratified Random Sample Using Meta Goal Programming', المجلة العلمية لقطاع کليات التجارة بجامعة الأزهر, 19(1), pp. 114-142. doi: 10.21608/jsfc.2018.57119
VANCOUVER
Moussa, Ebrahim. Allocation of Stratified Random Sample Using Meta Goal Programming. المجلة العلمية لقطاع کليات التجارة بجامعة الأزهر, 2018; 19(1): 114-142. doi: 10.21608/jsfc.2018.57119
)
مشاهدة على SCiNiTO