Multi-objective compromise allocation in multivariate stratified sampling using extended lexicographic goal programming with gamma cost function

DOI10.1007/s10852-014-9270-zzbMath1330.62067OpenAlexW1993554043MaRDI QIDQ894541

Yousaf Shad Muhammad, Mitwali Abd-el. Moemen, Javid Shabbir, Ijaz Husain

Publication date: 1 December 2015

Published in: Journal of Mathematical Modelling and Algorithms in Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10852-014-9270-z

zbMATH Keywords

multi-objective programmingmultivariate stratified samplingcompromise allocationlexicographic goal programmingnonlinear cost function

Mathematics Subject Classification ID

Sampling theory, sample surveys (62D05) Applications of mathematical programming (90C90) Multi-objective and goal programming (90C29)

Related Items

Compromise allocation problem in multivariate stratified sampling with flexible fuzzy goals ⋮ Optimum allocation in the multivariate cluster sampling design under Gamma cost function ⋮ Optimum allocation in multivariate stratified sampling design in the presence of nonresponse with Gamma cost function

Cites Work

• An optimum multivariate stratified sampling design with nonresponse: a lexicographic goal programming approach
• Goal programming for decision making: An overview of the current state-of-the-art
• Estimation of more than one parameters in stratified sampling with fixed budget
• A REGRESSION APPROACH TO THE ESTIMATION OF THE FINITE POPULATION MEAN IN THE PRESENCE OF NON-RESPONSE
• An Optimal Multivariate Stratified Sampling Design Using Dynamic Programming
• Optimum Allocation of Sampling Units to Strata When There Are R Responses of Interest
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