An introduction to the imprecise Dirichlet model for multinomial data
- 30 June 2005
- journal article
- Published by Elsevier BV in International Journal of Approximate Reasoning
- Vol. 39 (2-3), 123-150
- https://doi.org/10.1016/j.ijar.2004.10.002
Abstract
No abstract availableKeywords
This publication has 13 references indexed in Scilit:
- Building classification trees using the total uncertainty criterionInternational Journal of Intelligent Systems, 2003
- Implicative analysis for multivariate binary data using an imprecise Dirichlet modelJournal of Statistical Planning and Inference, 2002
- An imprecise Dirichlet model for Bayesian analysis of failure data including right-censored observationsReliability Engineering & System Safety, 1997
- The Selection of Prior Distributions by Formal RulesJournal of the American Statistical Association, 1996
- A Single General Method for the Analysis of Cross-Classified Data: Reconciliation and Synthesis of Some Methods of Pearson, Yule, and Fisher, and Also Some Methods of Correspondence Analysis and Association AnalysisJournal of the American Statistical Association, 1996
- Analysis of Clinical Data Using Imprecise Prior ProbabilitiesJournal of the Royal Statistical Society: Series D (The Statistician), 1996
- Concepts of Independence for Proportions with a Generalization of the Dirichlet DistributionJournal of the American Statistical Association, 1969
- A Bayesian Study of the Multinomial DistributionThe Annals of Mathematical Statistics, 1967
- Some observations on inverse probability including a new indifference ruleJournal of the Institute of Actuaries, 1947
- THE FUNDAMENTAL PROBLEM OF PRACTICAL STATISTICSBiometrika, 1920