Multi-objective mathematical programming approach for multivariate compromise allocation for stratified random sampling-Reference-Cited by-同舟云学术

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Multi-objective mathematical programming approach for multivariate compromise allocation for stratified random sampling

Published:2024-01-30 Issue: Volume: Page:1-12
ISSN:0361-0918
Container-title:Communications in Statistics - Simulation and Computation
language:en
Short-container-title:Communications in Statistics - Simulation and Computation

Author:

Mahfouz Maha I.¹,Rashwan Mahmoud M.²,Khadr Zeinab A.²,Ramadan Mohammed A.³

Affiliation:

1. National Center for Social and Criminological Studies, Giza, Egypt

2. Department of Statistics, Faculty of Economics and Political Sciences, Cairo University, Giza, Egypt

3. Department of Statistics, British University in Egypt, Al Shorouk City, Egypt

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/03610918.2024.2309962

Reference26 articles.

1. An optimum multivariate-multiobjective stratified sampling design;Ansari A. H.;METRON-International Journal of Statistics,2011

2. Use of the Generalized Variance and the Gradient Projection Method in Multivariate Stratified Sampling

3. A note on optimum allocation

4. Cochran, W. G. 1977. Sampling techniques, 3rd ed. New York: John Wiley & Sons.

5. Optimum allocation in multivariate stratified random sampling: stochastic matrix mathematical programming

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