Comparison of Random Search Method and Genetic Algorithm for Stratification
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Publication:5417917
DOI10.1080/03610918.2012.700364zbMath1361.62007OpenAlexW1972537885MaRDI QIDQ5417917
Publication date: 23 May 2014
Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610918.2012.700364
Applications of statistics to economics (62P20) Applications of statistics to social sciences (62P25) Sampling theory, sample surveys (62D05)
Related Items (4)
Revisiting sample allocation methods: a simulation-based comparison ⋮ Randomized heuristic algorithms for orthogonal projection of a point onto a set ⋮ On influence of clustering population on accuracy of population total estimation ⋮ Heuristic algorithm for univariate stratification problem
Cites Work
- A genetic algorithm approach to determine stratum boundaries and sample sizes of each stratum in stratified sampling
- An iterative local search approach applied to the optimal stratification problem
- On Sample Allocation in Multivariate Surveys
- Allocation Constraints in Stratification
- On the Complete Coverage of Large Units in a Statistical Study
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