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Imputing censored data with desirable spatial covariance function properties using simulated annealing


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  • L. Sedda


  • P. Atkinson
  • E. Barca
  • G. Passarella
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    Bibliographic Info

    Article provided by Springer in its journal Journal of Geographical Systems.

    Volume (Year): 14 (2012)
    Issue (Month): 3 (July)
    Pages: 265-282

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    Handle: RePEc:kap:jgeosy:v:14:y:2012:i:3:p:265-282

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    Related research

    Keywords: Detection limit; Annealing simulation; Variogram and histogram fitting; Cross-validation; Kriging; C21; C24; C61; Q19;

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    1. Bolte, Andreas & Thonemann, Ulrich Wilhelm, 1996. "Optimizing simulated annealing schedules with genetic programming," European Journal of Operational Research, Elsevier, vol. 92(2), pages 402-416, July.
    2. L. Ingber, 1996. "Adaptive simulated annealing (ASA): Lessons learned," Lester Ingber Papers 96as, Lester Ingber.
    3. Triki, E. & Collette, Y. & Siarry, P., 2005. "A theoretical study on the behavior of simulated annealing leading to a new cooling schedule," European Journal of Operational Research, Elsevier, vol. 166(1), pages 77-92, October.
    4. Ingrid Svensson & Sara Sjöstedt-De Luna & Lennart Bondesson, 2006. "Estimation of Wood Fibre Length Distributions from Censored Data through an EM Algorithm," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics & Finnish Statistical Society & Norwegian Statistical Association & Swedish Statistical Association, vol. 33(3), pages 503-522.
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