An optimum multivariate stratified sampling design with nonresponse: a lexicographic goal programming approach

DOI10.1007/s10852-011-9164-2zbMath1270.62036OpenAlexW2070971680MaRDI QIDQ662159

M. G. M. Khan, Rahul Varshney, Mohammad Jameel Ahsan

Publication date: 21 February 2012

Published in: JMMA. Journal of Mathematical Modelling and Algorithms (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10852-011-9164-2

zbMATH Keywords

goal programmingnonresponsemultivariate stratified samplingcompromise allocationmultiobjective integer nonlinear programming

Mathematics Subject Classification ID

Multivariate analysis (62H99) Sampling theory, sample surveys (62D05) Applications of mathematical programming (90C90)

Related Items (10)

Compromise allocation problem in multivariate stratified sampling with flexible fuzzy goals ⋮ Optimum allocation in the multivariate cluster sampling design under Gamma cost function ⋮ Multi-objective compromise allocation in multivariate stratified sampling using extended lexicographic goal programming with gamma cost function ⋮ Fuzzy multi-objective optimization for optimum allocation in multivariate stratified sampling with quadratic cost and parabolic fuzzy numbers ⋮ Optimum allocation in multivariate stratified sampling design in the presence of nonresponse with Gamma cost function ⋮ Trade-off between cost and variance for a multi-objective compromise allocation in stratified random sampling ⋮ Optimum multivariate stratified double sampling design: Chebyshev's Goal Programming approach ⋮ Optimum allocation in multivariate stratified random sampling: a modified Prékopa's approach ⋮ Multi-objective nonlinear programming problem approach in multivariate stratified sample surveys in the case of non-response ⋮ Estimation of finite population mean in multivariate stratified sampling under cost function using goal programming

Uses Software

• LINDO
• LINGO
• NLPQL

Cites Work

• LAPACK95 Users' Guide
• On Sampford's Procedure of Unequal Probability Sampling Without Replacement
• Compromise allocation in multivariate stratified sampling: An integer solution
• 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
• Optimum Allocation of Sampling Units to Strata When There Are R Responses of Interest
• Estimation in Surveys with Nonresponse
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