Geometric sample size determination in Bayesian analysis

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.

MoreLess

Year of publication:	2010
Authors:	Nassar, M. M. ; Khamis, S. M. ; Radwan, S. S.
Published in:	Journal of Applied Statistics. - Taylor & Francis Journals, ISSN 0266-4763. - Vol. 37.2010, 4, p. 567-575
Publisher:	Taylor & Francis Journals
Subject:	Bayesian analysis \| average coverage criterion (ACC) \| average length criterion (ALC) \| worst-outcome criterion (WOC)

More details

Extent:	text/html
Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10008503021