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Simulating Multivariate Distributions with Sparse Data: A Kernal Density Smoothing Procedure

Author

Listed:
  • Lien, Gudbrand D.
  • Hardaker, J. Brian
  • Richardson, James W.

Abstract

Often analysts must conduct risk analysis based on a small number of observations. This paper describes and illustrates the use of a kernel density estimation procedure to smooth out irregularities in such a sparse data set for simulating univariate and multivariate probability distributions.

Suggested Citation

  • Lien, Gudbrand D. & Hardaker, J. Brian & Richardson, James W., 2006. "Simulating Multivariate Distributions with Sparse Data: A Kernal Density Smoothing Procedure," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25449, International Association of Agricultural Economists.
    • Handle: RePEc:ags:iaae06:25449
    DOI: 10.22004/ag.econ.25449
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    References listed on IDEAS

    as
    1. Richardson, James W. & Klose, Steven L. & Gray, Allan W., 2000. "An Applied Procedure For Estimating And Simulating Multivariate Empirical (Mve) Probability Distributions In Farm-Level Risk Assessment And Policy Analysis," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 32(2), pages 1-17, August.
    2. Anderson, Jock R. & Dillon, John L. & Hardaker, Brian, 1977. "Agricultural Decision Analysis," Monographs: Applied Economics, AgEcon Search, number 288652, July.
    3. Anderson, Jock R. & Feder, Gershon, 2007. "Agricultural Extension," Handbook of Agricultural Economics, in: Robert Evenson & Prabhu Pingali (ed.), Handbook of Agricultural Economics, edition 1, volume 3, chapter 44, pages 2343-2378, Elsevier.
    4. Hardaker, J. Brian & Lien, Gudbrand D., 2005. "Towards some principles of good practice for decision analysis in agriculture," 2005 Conference (49th), February 9-11, 2005, Coff's Harbour, Australia 137925, Australian Agricultural and Resource Economics Society.
    5. Alan P. Ker & Keith Coble, 2003. "Modeling Conditional Yield Densities," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(2), pages 291-304.
    6. King, Robert P., 1979. "Operational Techniques for Applied Decision Analysis Under Uncertainty," AAEA Fellows - Dissertations and Theses, Agricultural and Applied Economics Association, number 181951, December.
    7. repec:ags:joaaec:v:32:y:2000:i:2:p:299-315 is not listed on IDEAS
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    Cited by:

    1. Xiaomin Liu & Jun-Bao Li & Jeng-Shyang Pan & Shuo Wang & Xudong Lv & Shuanglong Cui, 2020. "Image-matching framework based on region partitioning for target image location," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 74(3), pages 269-286, July.
    2. Gudbrand Lien & J. Hardaker & Marcel Asseldonk & James Richardson, 2011. "Risk programming analysis with imperfect information," Annals of Operations Research, Springer, vol. 190(1), pages 311-323, October.
    3. Lalani, Baqir & Dorward, Peter & Holloway, Garth, 2017. "Farm-level Economic Analysis - Is Conservation Agriculture Helping the Poor?," Ecological Economics, Elsevier, vol. 141(C), pages 144-153.
    4. Lien, Gudbrand & Hardaker, J. Brian & Asseldonk, Marcel A.P.M. van & Richardson, James W., 2009. "Risk programming and sparse data: how to get more reliable results," Agricultural Systems, Elsevier, vol. 101(1-2), pages 42-48, June.
    5. Hardaker, J. Brian & Lien, Gudbrand, 2010. "Probabilities for decision analysis in agriculture and rural resource economics: The need for a paradigm change," Agricultural Systems, Elsevier, vol. 103(6), pages 345-350, July.
    6. Ribera, Luis A. & Outlaw, Joe L. & Richardson, James W. & Silva, Jorge A. da & Bryant, Henry L., 2007. "Mitigating the Fuel and Feed Effects of Increased Ethanol Production Utilizing Sugarcane," Biofuels, Food and Feed Tradeoffs Conference, April 12-13, 2007, St, Louis, Missouri 313700, Farm Foundation.
    7. Hardaker, J. Brian & Lien, Gudbrand D., 2007. "Rationalising Risk Assessment: Applications to Agricultural Business," Australasian Agribusiness Review, University of Melbourne, Department of Agriculture and Food Systems, vol. 15.

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