Hostname: page-component-74656f9884-npj9w Total loading time: 0 Render date: 2026-11-09T19:59:51.735Z Has data issue: false hasContentIssue false

An alternative characterization for matrix exponential distributions

Published online by Cambridge University Press:  01 July 2016

Mark Fackrell*
Affiliation:
University of Melbourne
*
∗ Postal address: Department of Mathematics and Statistics, University of Melbourne, Victoria 3010, Australia. Email address: fackrell@unimelb.edu.au
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the 'Save PDF' action button.

A necessary condition for a rational Laplace–Stieltjes transform to correspond to a matrix exponential distribution is that the pole of maximal real part is real and negative. Given a rational Laplace–Stieltjes transform with such a pole, we present a method to determine whether or not the numerator polynomial admits a transform that corresponds to a matrix exponential distribution. The method relies on the minimization of a continuous function of one variable over the nonnegative real numbers. Using this approach, we give an alternative characterization for all matrix exponential distributions of order three.

Information

Type
General Applied Probability
Copyright
Copyright © Applied Probability Trust 2009