Award Date

1-1-2006

Degree Type

Thesis

Degree Name

Master of Science (MS)

Department

Mathematical Sciences

First Committee Member

A. K. Singh

Number of Pages

42

Abstract

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.

Keywords

Bayesian; Coefficient; Computing; Credible; Normal; Populations; Sets; Variation

Controlled Subject

Mathematics

File Format

pdf

File Size

860.16 KB

Degree Grantor

University of Nevada, Las Vegas

Language

English

Permissions

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Identifier

https://doi.org/10.25669/peu1-vzy8


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