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Limit distributions of the number of renewals and waiting times

Published online by Cambridge University Press:  14 July 2016

N. R. Mohan*
Affiliation:
University of Mysore

Abstract

Let {Xn} be an infinite sequence of independent non-negative random variables. Let the distribution function of Xi, i = 1, 2, …, be either F1 or F2 where F1 and F2 are distinct. Set Sn = X1 + X2 + … + Xn and for t > 0 define and Zt = SN(t)+1t. The limit distributions of N(t), Yt and Zt as t → ∞ are obtained when F1 and F2 are in the domains of attraction of stable laws with exponents α1 and α2, respectively and Sn properly normalised has the composition of these two stable laws as its limit distribution.

Type
Research Papers
Copyright
Copyright © Applied Probability Trust 1976 

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References

[1] Gnedenko, B. V. and Kolmogorov, A. N. (1954) Limit Distributions for Sums of Independent Random Variables. Addison-Wesley, Cambridge, Mass.Google Scholar
[2] Feller, W. (1966) An Introduction to Probability Theory and its Applications , Vol. II. Wiley, New York.Google Scholar
[3] Pakshirajan, R. P. and Vasudeva, R. On the limit distribution of sums of independent random variables. Unpublished.Google Scholar
[4] Prabhu, N. U. (1965) Stochastic Processes. MacMillan, New York.Google Scholar
[5] Smith, W. L. (1968) On infinitely divisible laws and a renewal theorem for non-negative random variables. Ann. Math. Statist. 39, 139154.CrossRefGoogle Scholar
[6] Sreehari, M. (1970) On a class of limit distributions for normalized sums of independent random variables. Theor. Prob. Appl. 15, 258281.CrossRefGoogle Scholar