An optimal chance constraint multivariate stratified sampling design using auxiliary information

DOI10.1007/s10852-013-9237-5zbMath1310.62016OpenAlexW2061102061MaRDI QIDQ483223

Irfan Ali, Neha Gupta, Abdul Bari

Publication date: 16 December 2014

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/s10852-013-9237-5

zbMATH Keywords

multi-objective programmingauxiliary informationfuzzy goal programmingmultivariate stratified samplingchance constraintChebyshev approximationcompromise allocation

Mathematics Subject Classification ID

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

Related Items (3)

Fuzzy multi-objective optimization for optimum allocation in multivariate stratified sampling with quadratic cost and parabolic fuzzy numbers ⋮ Optimum multivariate stratified double sampling design: Chebyshev's Goal Programming approach ⋮ Multi-objective geometric programming approach in multivariate stratified sample survey with quadratic cost function

Cites Work

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• Allocation of sample using values of auxiliary characteristic
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• Estimation of more than one parameters in stratified sampling with fixed budget
• Compromise allocation in multivariate stratified surveys with stochastic quadratic cost function
• Generalized measures of dispersion to solve the allocation problem in multivariate stratified random sampling
• On Sample Allocation in Multivariate Surveys
• Compromise allocation in multivariate stratified sampling: An integer solution
• Optimum Allocation of Sampling Units to Strata When There Are R Responses of Interest

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