Hostname: page-component-76fb5796d-zzh7m Total loading time: 0 Render date: 2024-04-27T15:34:17.176Z Has data issue: false hasContentIssue false

DEPENDENCE, DISPERSIVENESS, AND MULTIVARIATE HAZARD RATE ORDERING

Published online by Cambridge University Press:  31 August 2005

Baha-Eldin Khaledi
Affiliation:
Statistical Research Center, Tehran, Iran, and, Department of Statistics, College of Sciences, Razi University, Kermanshah, Iran, E-mail: bkhaledi@hotmail.com
Subhash Kochar
Affiliation:
Department of Mathematics and Statistics, Portland State University, Portland, Oregon 97201, E-mail: subhash.kochar@gmail.com

Abstract

To compare two multivariate random vectors of the same dimension, we define a new stochastic order called upper orthant dispersive ordering and study its properties. We study its relationship with positive dependence and multivariate hazard rate ordering as defined by Hu, Khaledi, and Shaked (Journal of Multivariate Analysis, 2002). It is shown that if two random vectors have a common copula and if their marginal distributions are ordered according to dispersive ordering in the same direction, then the two random vectors are ordered according to this new upper orthant dispersive ordering. Also, it is shown that the marginal distributions of two upper orthant dispersive ordered random vectors are also dispersive ordered. Examples and applications are given.

Type
Research Article
Copyright
© 2005 Cambridge University Press

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.)

References

REFERENCES

Bagai, I. & Kochar, S.C. (1986). On tail ordering and comparison of failure rates. Communications in Statistics—Theory and Methods 15: 13771388.Google Scholar
Bartoszewicz, J. (1985). Moment inequalities for order statistics from ordered families of distributions. Metrika 32: 383389.Google Scholar
Bartoszewicz, J. (1986). Dispersive ordering and the total time on test transformation. Statistics and Probability Letters 4: 285288.Google Scholar
Boland, P.J., Hollander, M., Joag-Dev, K., & Kochar, S. (1996). Bivariate dependence properties of order statistics. Journal of Multivariate Analysis 56: 7589.Google Scholar
Deheuvels, P. (1978). Caractérisation compelet des lois extrêmes multivariées et de la convergence des types extrêmes. Publication du Institute Statistics du Universite de Paris 23: 137.Google Scholar
Denuit, M., Lefèvre, C., & Utev, S. (1999). Generalized stochastic convexity and stochastic orderings of mixtures. Probability in the Engineering and Informational Sciences 13: 275291.Google Scholar
Fernandez-Ponce, J.M. & Suarez-Llorens, A. (2003). A multivariate dispersion ordering based on quantiles more widely separated. Journal of Multivariate Analysis 85: 4053.Google Scholar
Giovagnoli, A. & Wynn, H.P. (1995). Multivariate dispersion orderings. Statistics and Probability Letters 22: 325332.Google Scholar
Hu, T., Khaledi, B.E., & Shaked, M. (2002). Multivariate hazard rate orders. Journal of Multivariate Analysis 84: 173189.Google Scholar
Joe, H. (1997). Multivariate models and dependence concepts. London: Chapman & Hall.
Johnson, N.L. & Kotz, S. (1975). A vector multivariate hazard rate. Journal of Multivariate Analysis 5: 5366.Google Scholar
Karlin, S. (1968). Total positivity. Stanford, CA: Stanford University Press.
Kimeldrof, G. & Sampson, A. (1975). Uniform representations of bivariate distributions with fixed marginals. Communications in Statistics—Theory and Methods 4: 617627.Google Scholar
Kotz, S., Balakrishnan, N., & Johnson, N.L. (2000). Continuous multivariate distributions, Vol. 1: Models and applications, 2nd ed., New York: Wiley.CrossRef
Marshall, A.W. (1975). Some comments on the hazard gradient. Stochastic Processes and Their Applications 3: 293300.Google Scholar
Müller, P. & Scarsini, M. (2001). Stochastic comparisons of random vectors with a common copula. Mathematics of Operations Research 26: 723740.Google Scholar
Nelsen, R.B. (1998). An introduction to copulas. New York: Springer-Verlag.
Rojo, J. & He, G.Z. (1991). New properties and characterizations of the dispersive ordering. Statistics and Probability Letters 11: 365372.Google Scholar
Saunders, I.W. & Moran, P.A.P. (1978). On quantiles of the gamma and F distributions. Journal of Applied Probability 15: 426432.Google Scholar
Shaked, M. & Shanthikumar, J.G. (1994). Stochastic orders and their applications. San Diego, CA: Academic Press.
Shaked, M. & Shanthikumar, J.G. (1998). Two variability orders. Probability in the Engineering and Informational Sciences 12: 123.Google Scholar
Shaked, M. & Wong, T. (1995). Preservation of stochastic orderings under random mapping by point processes. Probability in the Engineering and Informational Sciences 9: 563580.Google Scholar
Sklar, A. (1959). Functions de répartition à n dimensions et leurs marges. Publication du Institute Statistics du Universite de Paris 8: 229231.Google Scholar