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The renewal-process stationary-excess operator

Published online by Cambridge University Press:  14 July 2016

Ward Whitt*
Affiliation:
AT&T Bell Laboratories
*
Postal address: AT&T Bell Laboratories, HO 4M-326, Crawfords Corner Road, Holmdel NJ 07733, USA.

Abstract

This paper describes the operator mapping a renewal-interval distribution into its associated stationary-excess distribution. This operator is monotone for some kinds of stochastic order, but not for the usual stochastic order determined by the expected value of all non-decreasing functions. Conditions for a renewal-interval distribution to be larger or smaller than its associated stationary-excess distribution for several kinds of stochastic order are determined in terms of familiar notions of ageing. Convergence results are also obtained for successive iterates of the operator, which supplement Harkness and Shantaram (1969), (1972) and van Beek and Braat (1973).

Type
Research Papers
Copyright
Copyright © Applied Probability Trust 1985 

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References

Barlow, R. E. and Proschan, F. (1975) Statistical Theory of Reliability and Life Testing. Holt, Rinehart and Winston, New York.Google Scholar
Beek, P. Van and Braat, J. (1973) The limits of sequences of iterated overshoot distribution functions. Stoch. Proc. Appl. 1, 307316.Google Scholar
Brown, M. (1980) Bounds, inequalities and monotonicity properties for some specialized renewal processes. Ann. Prob. 8, 227240.Google Scholar
Cox, D. R. (1972) Renewal Theory. Methuen, London.Google Scholar
Daley, D. J. and Vere-Jones, D. (1972) A summary of the theory of point processes. In Stochastic Point Processes: Statistical Analysis, Theory and Applications, ed. Lewis, P. A. W., Wiley, New York, 299383.Google Scholar
Harkness, W. L. and Shantaram, R. (1969) Convergence of a sequence of transformations of distribution functions. Pacific J. Math. 31, 403415.Google Scholar
Jagers, P. (1973) On Palm probabilities. Z. Wahrscheinlichkeitsth. 26, 1732.Google Scholar
Keilson, J. and Sumita, U. (1983) Uniform stochastic ordering and related inequalities. Canad. J. Statist. 10, 181198.Google Scholar
Langberg, N. A., Leon, R. V., Lynch, J. and Proschan, F. (1980) Extreme points of the class of discrete decreasing failure rate distributions. Math. Operat. Res. 5, 3542.Google Scholar
Pinedo, M. L. and Ross, S. M. (1980) Scheduling jobs subject to non-homogeneous Poisson shocks. Management Sci. 26, 12501257.Google Scholar
Port, S. C. and Stone, C. J. (1977) Spacing distribution associated with a stationary random measure on the real line. Ann. Prob. 3, 387394.Google Scholar
Shantaram, R. and Harkness, W. L. (1972) On a certain class of limit distributions. Ann. Math. Statist. 43, 20672071.Google Scholar
Stoyan, D. (1977) Qualitative Eigenschaften und Abschatzungen Stochasticher Modelle. R. Oldebourg Verlag, Berlin.Google Scholar
Stoyan, D. (1983) Comparison Methods for Queues and Other Stochastic Models, ed. Daley, D. J. Wiley, New York.Google Scholar
Whitt, W. (1980) Uniform conditional stochastic order. J. Appl. Prob. 17, 112123.CrossRefGoogle Scholar
Whitt, W. (1982) Multivariate monotone likelihood ratio and uniform conditional stochastic order. J. Appl. Prob. 19, 695701.CrossRefGoogle Scholar
Whitt, W. (1983a) Comparing batch delays and customer delays. Bell System Tech. J. 62, 20012009.Google Scholar
Whitt, W. (1983b) Comparison conjectures about the M/G/s queue. Operat. Res. Letters 2, 203210.Google Scholar