Geometric sample size determination in bayesian analysis

Nassar M. ; Khamis S. ; Radwan S. 


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. © 2010 Taylor & Francis.


Other data

Keywords Bayesian analysis; average coverage criterion (ACC); average length criterion (ALC); worst-outcome criterion (WOC)
Issue Date 1-Apr-2010
Journal Journal of Applied Statistics 
URI http://research.asu.edu.eg/123456789/1121
DOI 4
https://api.elsevier.com/content/abstract/scopus_id/77949523827
567
37
10.1080/02664760902803248


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