Optimum allocation in multivariate stratified sampling design in the presence of nonresponse with Gamma cost function

DOI10.1080/00949655.2019.1620747OpenAlexW2946352221MaRDI QIDQ5107466

Mradula, Rahul Varshney

Publication date: 27 April 2020

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

Full work available at URL: https://doi.org/10.1080/00949655.2019.1620747

zbMATH Keywords

nonresponsecompromise allocationlexicographic goal programmingGamma cost functionmultivariate stratified sample survey

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (3)

Compromise allocation problem in multivariate stratified sampling with flexible fuzzy goals ⋮ Optimum allocation in the multivariate cluster sampling design under Gamma cost function ⋮ A genetic algorithm applied to optimal allocation in stratified sampling

Cites Work

• An optimum multivariate stratified sampling design with nonresponse: a lexicographic goal programming approach
• Multi-objective compromise allocation in multivariate stratified sampling using extended lexicographic goal programming with gamma cost function
• An optimum multivariate stratified double sampling design in presence of non-response
• Integer compromise allocation in multivariate stratified surveys
• Multiobjective Stochastic Multivariate Stratified Sampling in Presence of Nonresponse
• On Sampford's Procedure of Unequal Probability Sampling Without Replacement
• Compromise allocation in multivariate stratified sampling: An integer solution
• On the Two Different Aspects of the Representative Method: The Method of Stratified Sampling and the Method of Purposive Selection
• An Optimum Multivariate-Multiobjective Stratified Sampling Design: Fuzzy Programming Approach
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