Simulating Multivariate Distributions with Sparse Data: A Kernal Density Smoothing Procedure
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.
|Date of creation:||2006|
|Date of revision:|
|Contact details of provider:|| Web page: http://www.iaae-agecon.org/|
More information through EDIRC
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- 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.
- 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(02), August.
- King, Robert P., 1979. "Operational Techniques for Applied Decision Analysis Under Uncertainty," AAEA Fellows - Dissertations and Theses, Agricultural and Applied Economics Association, number 181951, 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.
- repec:ags:joaaec:v:32:y:2000:i:2:p:299-315 is not listed on IDEAS
- Anderson, Jock R. & Feder, Gershon, 2007. "Agricultural Extension," Handbook of Agricultural Economics, Elsevier.
When requesting a correction, please mention this item's handle: RePEc:ags:iaae06:25449. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (AgEcon Search)
If references are entirely missing, you can add them using this form.