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Weak convergence on randomly deleted sets

Published online by Cambridge University Press:  14 July 2016

Mark D. Rothmann*
Affiliation:
University of Iowa
Ralph P. Russo*
Affiliation:
University of Iowa
*
Postal address: Department of Statistics, University of Iowa, Iowa City, IA 52242, USA
Postal address: Department of Statistics, University of Iowa, Iowa City, IA 52242, USA

Abstract

Suppose t1, t2,… are the arrival times of units into a system. The kth entering unit, whose magnitude is Xk and lifetime Lk, is said to be ‘active’ at time t if I(tk < tk + Lk) = Ik,t = 1. The size of the active population at time t is thus given by At = ∑k≥1Ik,t. Let Vt denote the vector whose coordinates are the magnitudes of the active units at time t, in their order of appearance in the system. For n ≥ 1, suppose λn is a measurable function on n-dimensional Euclidean space. Of interest is the weak limiting behaviour of the process λ*(t) whose value is λm(Vt) or 0, according to whether At = m > 0 or At = 0.

Type
Research Papers
Copyright
Copyright © Applied Probability Trust 1998 

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References

Baum, L. E., and Katz, M. (1963). Convergence rates in the law of large numbers. Bull. Amer. Math. Soc. 69, 771772.Google Scholar
Billingsley, P. (1986). Probability and Measure, 2nd edn. Wiley, New York.Google Scholar
Rothmann, M. D., and Russo, R. P. (1994). Persistent convergence on randomly deleted sets. Statist. Prob. Lett. 20, 367373.Google Scholar
Serfling, R. J. (1983). Approximation Theorems in Mathematical Statistics. Wiley, New York.Google Scholar
Uspensky, J. V. (1937). Introduction to Mathematical Probability. McGraw-Hill, New York.Google Scholar