Geometric sample size determination in Bayesian analysis

M. M. Nassar, S. M. Khamis and S. S. Radwan

Journal of Applied Statistics, 2010, vol. 37, issue 4, 567-575

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.

Keywords: Bayesian analysis; average coverage criterion (ACC); average length criterion (ALC); worst-outcome criterion (WOC) (search for similar items in EconPapers)
Date: 2010
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DOI: 10.1080/02664760902803248

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