Please use this identifier to cite or link to this item:
|Title:||ELICITATION METHODS FOR BETA PRIOR DISTRIBUTION|
|Publisher:||Editora UFLA - Universidade Federal de Lavras - UFLA|
|Description:||A distinctive feature of Bayesian inference is that allows us to use the the expert's information in a statistical analysis. Therefore, the development of methods for construction of prior distributions that represent this information in an appropriate manner is very important for the application of Bayesian inferences. However, the diculty to build a procedure to quantify this prior information has contributed to the development of several procedures for obtaining prior distributions. Then a study to verify how informative these procedures are is of great practical interest. In this paper, the methods proposed by O'Hagan (1998), Fox (1966), Gross (1971) and Bisection to elicit the prior distribution Beta are discussed. A real example is presented to show the application of these methods in a practical situation.|
|Appears in Collections:||Revista Brasileira de Biometria|
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.