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International Journal of Applied & Experimental Mathematics Volume 1 (2016), Article ID 1:IJAEM-103, 4 pages
https://doi.org/10.15344/2456-8155/2016/103
Research Article
Probability Distributions for the Mean and Variance Using Maximum Entropy and Bayesian Analysis

Bahman Shafii* and William J. Price

Statistical Programs, P.O. Box 442337, University of Idaho, Moscow, ID, 83844-2337, USA
Dr. Bahman Shafii, Statistical Programs, P.O. Box 442337, University of Idaho, Moscow, ID, 83844-2337 USA; E-mail: bshafii@uidaho.edu
20 November 2015; 04 February 2016; 06 February 2016
Shafii B, Price WJ (2016) Probability Distributions for the Mean and Variance Using Maximum Entropy and Bayesian Analysis. Int J Appl Exp Math 1: 103. doi: https://doi.org/10.15344/2456-8155/2016/103

References

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  2. Kullback S, Leibler RA (1951) On Information and Sufficiency. Ann Math Stat 22: 79-86. View
  3. Price HJ, Manson AR (2001) Uninformative Priors for Bayes Theorem, in Proceedings of the Twenty First International Workshops on Bayesian Analysis and Maximum Entropy Methods in Science and Engineering. Johns Hopkins University 379-391. View
  4. Gull SF, Fielden J (1984) Bayesian non-parametric statistics, in Maximum Entropy and Bayesian Analysis in Applied Statistics, University of Calgary: Proceedings of the Fourth Maximum Entropy Workshop, Cambridge University Press 85-94.