Hostname: page-component-76fb5796d-dfsvx Total loading time: 0 Render date: 2024-04-27T19:28:02.570Z Has data issue: false hasContentIssue false

EXPONENTIAL DOMINANCE AND UNCERTAINTY FOR WEIGHTED RESIDUAL LIFE MEASURES

Published online by Cambridge University Press:  31 March 2011

Broderick O. Oluyede
Affiliation:
Department of Mathematical Sciences, Georgia Southern University, Statesboro, GA 30460 E-mail: Boluyede@GeorgiaSouthern.edu

Abstract

In this article notions of exponential dominance and uncertainty for weighted and unweighted distributions are explored and used to compare values of the informational energy function and the differential entropy. Stochastic inequalities and bounds for cross-discrimination and uncertainty measures in weighted and unweighted residual life distribution functions and related reliability measures are presented. Moment-type inequalities for the comparisons of weighted and unweighted residual life distributions are also presented.

Type
Research Article
Copyright
Copyright © Cambridge University Press 2011

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

1.Brown, M. (1983). Approximating IMRL distributions by exponential distributions, with applications to first passage times. Annals of Probability 11: 419427.Google Scholar
2.Ebrahimi, N. & Pellerey, F. (1995). New partial ordering of survival functions based on the notion of uncertainty. Journal of Applied Probability 32: 202211.CrossRefGoogle Scholar
3.Gupta, R.C. & Keating, J.P. (1985). Relations for reliability measures under length biased sampling. Scandanarian Journal of Statistics 13: 4956.Google Scholar
4.Keilson, J. (1979). Markov Chain Models – Rarity and Exponentiality. New York: Springer-Verlag.CrossRefGoogle Scholar
5.Nanda, A.K. & Jain, K. (1999). Some weighted distribution results on univariate and bivariate cases. Journal of Statistical Planning and Inference 77: 169180.CrossRefGoogle Scholar
6.Oluyede, B.O. (1999). On inequalities and selection of experiments for length-biased distributions. Probability in the Engineering and Informational Sciences 13: 169185.CrossRefGoogle Scholar
7.Patil, G.P. & Rao, C.R. (1978). Weighted distributions and size-biased sampling with applications to wildlife and human families. Biometrics 34: 179189.CrossRefGoogle Scholar
8.Szekli, R. (1995). Stochastic ordering and dependence in applied probability. Berlin: Springer-Verlag.CrossRefGoogle Scholar
9.Shannon, C.E. (1948). A mathematical theory of communication. Bell System Technical Journal 27: 379423, 623–656.CrossRefGoogle Scholar
10.Zelen, M. & Feinleib, M. (1969). On the theory of chronic diseases. Biometrika 56: 601614.CrossRefGoogle Scholar