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

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Listed:
  • L. Sedda
  • P. Atkinson
  • E. Barca
  • G. Passarella

Abstract

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Suggested Citation

  • L. Sedda & P. Atkinson & E. Barca & G. Passarella, 2012. "Imputing censored data with desirable spatial covariance function properties using simulated annealing," Journal of Geographical Systems, Springer, vol. 14(3), pages 265-282, July.
    • Handle: RePEc:kap:jgeosy:v:14:y:2012:i:3:p:265-282
    DOI: 10.1007/s10109-010-0145-1
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    References listed on IDEAS

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    1. Philip K. Hopke & Chuanhai Liu & Donald B. Rubin, 2001. "Multiple Imputation for Multivariate Data with Missing and Below‐Threshold Measurements: Time‐Series Concentrations of Pollutants in the Arctic," Biometrics, The International Biometric Society, vol. 57(1), pages 22-33, March.
    2. Manfred M. Fischer & Arthur Getis (ed.), 2010. "Handbook of Applied Spatial Analysis," Springer Books, Springer, number 978-3-642-03647-7, July.
    3. 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, September.
    4. 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.
    5. W. Macmillan, 2001. "Redistricting in a GIS environment: An optimisation algorithm using switching-points," Journal of Geographical Systems, Springer, vol. 3(2), pages 167-180, August.
    6. Heejung Bang & Anastasios A. Tsiatis, 2002. "Median Regression with Censored Cost Data," Biometrics, The International Biometric Society, vol. 58(3), pages 643-649, September.
    7. 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.
    8. L. Ingber, 1996. "Adaptive simulated annealing (ASA): Lessons learned," Lester Ingber Papers 96as, Lester Ingber.
    9. R. A. Rigby & D. M. Stasinopoulos, 2005. "Generalized additive models for location, scale and shape," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 54(3), pages 507-554, June.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Detection limit; Annealing simulation; Variogram and histogram fitting; Cross-validation; Kriging; C21; C24; C61; Q19;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • Q19 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Other

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