Compromise allocation in multivariate stratified surveys with stochastic quadratic cost function

DOI10.1080/00949655.2011.643890zbMath1431.62033OpenAlexW2007733670MaRDI QIDQ2862394

Yashpal Singh Raghav, Irfan Ali, Abdul Bari

Publication date: 15 November 2013

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2011.643890

zbMATH Keywords

stochastic programmingchance constraintsquadratic costoptimum allocationChebyshev approximationcompromise allocationstratified survey\(D_1\) distance and goal programming

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Sampling theory, sample surveys (62D05) Stochastic programming (90C15)

Related Items (6)

Compromise allocation problem in multivariate stratified sampling with flexible fuzzy goals ⋮ Fuzzy multi-objective optimization for optimum allocation in multivariate stratified sampling with quadratic cost and parabolic fuzzy numbers ⋮ An optimal chance constraint multivariate stratified sampling design using auxiliary information ⋮ Multi-objective geometric programming approach in multivariate stratified sample survey with quadratic cost function ⋮ Multiobjective Stochastic Multivariate Stratified Sampling in Presence of Nonresponse ⋮ A genetic algorithm applied to optimal allocation in stratified sampling

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• Linear Programming under Uncertainty
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• Optimum Allocation of Stratified Random Samples Designed for Multiple Mean Estimates and Multiple Observed Variables
• An Optimal Multivariate Stratified Sampling Design Using Dynamic Programming
• On the Two Different Aspects of the Representative Method: The Method of Stratified Sampling and the Method of Purposive Selection

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