Geometric sample size determination in Bayesian analysis
M. M. Nassar; Khamis, Soheir; S. S. Radwan;
Abstract
The problem of sample size determination in the context of Bayesian analysis is considered. For the familiar
and practically important parameter of a geometric distribution with a beta prior, three different Bayesian
approaches based on the highest posterior density intervals are discussed.A computer program handles all
computational complexities and is available upon request.
and practically important parameter of a geometric distribution with a beta prior, three different Bayesian
approaches based on the highest posterior density intervals are discussed.A computer program handles all
computational complexities and is available upon request.
Other data
| Title | Geometric sample size determination in Bayesian analysis | Authors | M. M. Nassar; Khamis, Soheir ; S. S. Radwan | Keywords | Bayesian analysis;average coverage criterion (ACC);average length criterion (ALC);worst-outcome criterion (WOC) | Issue Date | 23-Mar-2010 | Publisher | Taylor & Francis | Journal | Journal of Applied Statistics | Volume | 37 | Issue | 4 | Start page | 567 | End page | 575 | DOI | http://dx.doi.org/10.1080/02664760902803248 |
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