Compromise mixed allocation using fuzzy programming approach

DOI10.1080/00949655.2020.1817455OpenAlexW3088111728MaRDI QIDQ5033933

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Publication date: 24 February 2022

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

Full work available at URL: https://doi.org/10.1080/00949655.2020.1817455

zbMATH Keywords

multivariate stratified samplingmixed allocationcompromise mixed allocationfuzzy programming approach

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

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• \(L_ 1\)-norm and other methods for sample allocation in multivariate stratified surveys
• Fuzzy goal programming - an additive model
• Optimum allocation in multivariate stratified random sampling with overhead cost
• A Compromise Allocation Based on the Individual Mixed Allocations in Multivariate Stratified Sampling : A Goal Programming Approach
• 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
• An Optimal Multivariate Stratified Sampling Design Using Dynamic Programming
• Optimum Allocation of Sampling Units to Strata When There Are R Responses of Interest
• An Optimum Multivariate-Multiobjective Stratified Sampling Design: Fuzzy Programming Approach

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