Hostname: page-component-89b8bd64d-46n74 Total loading time: 0 Render date: 2026-05-07T02:31:00.751Z Has data issue: false hasContentIssue false

Crossing Properties of Mixture Distributions

Published online by Cambridge University Press:  27 July 2009

Philip J. Boland
Affiliation:
Department of Statistics University College, Dublin Belfield, Dublin 4, Ireland
Frank Proschan
Affiliation:
Department of StatisticsThe Florida State University Tallahassee, Florida 32306-3033
Y. L. Tong
Affiliation:
School of MathematicsGeorgia Institute of Technology, Atlanta, Georgia 30332

Abstract

Mixture distributions are a frequently used tool in modelling random phenomena. We consider mixtures of densities from a one-parameter exponenvial family of distributions. Using the tools of totally positive functions and the variation-diminishing property of such, we study the effect of sign-crossing properties of two mixing densities μ1 and μ2 on the resulting mixture distributions f1 and f2. The results enable us to make stochastic and variability cornparisons for binomial-beta, mixed Weibull, and mixed gamma distributions.

Information

Type
Articles
Copyright
Copyright © Cambridge University Press 1989

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Article purchase

Temporarily unavailable