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57119

Allocation of Stratified Random Sample Using Meta Goal Programming

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Last updated: 04 Jan 2025

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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.

DOI

10.21608/jsfc.2018.57119

Keywords

Meta Goal Programming, Optimum Allocation, Stratified Random Sample

Authors

First Name

Ebrahim

Last Name

Moussa

MiddleName

-

Affiliation

Ebrahim Moussa, Ramadan Hamed, Asmaa Helmy . Faculty of Commerce, Al-Azhar University

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Volume

19

Article Issue

1

Related Issue

5986

Issue Date

2018-01-01

Receive Date

2017-08-05

Publish Date

2018-01-01

Page Start

114

Page End

142

Print ISSN

1687-322X

Article File

JSFC_Volume 19_Issue 1_Pages 114-142.pdf

PDF . 518.6kB

Link

https://jsfc.journals.ekb.eg/article_57119.html

Detail API

https://jsfc.journals.ekb.eg/service?article_code=57119

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Type

المقالة الأصلية

Type Code

761

Publication Type

Journal

Publication Title

المجلة العلمية لقطاع کليات التجارة

Publication Link

https://jsfc.journals.ekb.eg/

MainTitle

Allocation of Stratified Random Sample Using Meta Goal Programming

Details

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Article

Created At

22 Jan 2023