A genetic algorithm approach to determine stratum boundaries and sample sizes of each stratum in stratified sampling

DOI10.1016/j.csda.2007.03.026zbMath1452.62081OpenAlexW2044520565MaRDI QIDQ1020787

Şebnem Er, Timur Keskintürk

Publication date: 2 June 2009

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2007.03.026

zbMATH Keywords

stratificationgenetic algorithmstratified samplinggeometric methodsample allocationcumulative root frequency methodstratum boundaries

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Learning and adaptive systems in artificial intelligence (68T05) Approximation methods and heuristics in mathematical programming (90C59)

Related Items (7)

Integrated statistical and decision models for multi-stage health care audit sampling ⋮ Stratification of Skewed Populations: A Comparison of Optimisation‐based versus Approximate Methods ⋮ Heuristic algorithm for univariate stratification problem ⋮ Information‐theoretic multistage sampling framework for medical audits ⋮ Comparison of Random Search Method and Genetic Algorithm for Stratification ⋮ Editorial: 2nd special issue on applications of optimization heuristics to estimation and modelling problems ⋮ Determining the optimum stratum boundaries using mathematical programming

Uses Software

• Genocop

Cites Work

• Nonlinear integer programming for optimal allocation in stratified sampling
• Minimum Variance Stratification
• A NOTE ON OPTIMUM STRATIFICATION OF POPULATIONS FOR ESTIMATING THE POPULATION MEANS
• An Approximation Useful in Univariate Stratification
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