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

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  • Keskinturk, Timur
  • Er, Sebnem

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  • Keskinturk, Timur & Er, Sebnem, 2007. "A genetic algorithm approach to determine stratum boundaries and sample sizes of each stratum in stratified sampling," Computational Statistics & Data Analysis, Elsevier, vol. 52(1), pages 53-67, September.
    • Handle: RePEc:eee:csdana:v:52:y:2007:i:1:p:53-67
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    References listed on IDEAS

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    1. Bretthauer, Kurt M. & Ross, Anthony & Shetty, Bala, 1999. "Nonlinear integer programming for optimal allocation in stratified sampling," European Journal of Operational Research, Elsevier, vol. 116(3), pages 667-680, August.
    2. Giovanna Nicolini, 2001. "A method to define strata boundaries," Departmental Working Papers 2001-01, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
    3. Nearchou, A.C.Andreas C., 2004. "The effect of various operators on the genetic search for large scheduling problems," International Journal of Production Economics, Elsevier, vol. 88(2), pages 191-203, March.
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    Cited by:

    1. Gilli, Manfred & Winker, Peter, 2007. "2nd Special Issue on Applications of Optimization Heuristics to Estimation and Modelling Problems," Computational Statistics & Data Analysis, Elsevier, vol. 52(1), pages 2-3, September.
    2. Carroll, Rachael & Kearney, Colm, 2015. "Testing the mixture of distributions hypothesis on target stocks," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 39(C), pages 1-14.
    3. Barcaroli, Giulio, 2014. "SamplingStrata: An R Package for the Optimization of Stratified Sampling," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 61(i04).

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