Master of Science (MS)
First Committee Member
A. K. Singh
Number of Pages
The use of Coefficient of Variation (CV) is quite common in many disciplines, yet its estimation has not received much attention from statisticians. In this paper, we consider the problem of confidence interval estimation of CV for a normal population using the Bayesian approach. The method of Gibbs Sampler is used for numerical integration in order to compute the Bayes credible sets for CV for two different joint prior distributions---the natural conjugate prior, and the non-informative prior. Several simulated examples are included to demonstrate the proposed procedure.
Bayesian; Coefficient; Computing; Credible; Normal; Populations; Sets; Variation
University of Nevada, Las Vegas
If you are the rightful copyright holder of this dissertation or thesis and wish to have the full text removed from Digital Scholarship@UNLV, please submit a request to email@example.com and include clear identification of the work, preferably with URL.
Pokkunuri, Skanda, "On computing Bayesian credible sets for the coefficient of variation of a normal population" (2006). UNLV Retrospective Theses & Dissertations. 1970.
IN COPYRIGHT. For more information about this rights statement, please visit http://rightsstatements.org/vocab/InC/1.0/