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Ignatov's theorem: a new and short proof

Published online by Cambridge University Press:  14 July 2016

Abstract

By Ignatov's theorem the sets of values in an i.i.d. sequence that are the kth largest at their appearance (k = 1, 2, ···) are supports of i.i.d. Poisson processes. The present paper contains an elementary and short proof for the case where the underlying distribution function F is discrete, and then extends the result to general F.

Type
Part 6 - The Analysis of Stochastic Phenomena
Copyright
Copyright © Applied Probability Trust 1988 

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References

Deheuvels, P. (1983) The strong approximation of extremal processes (II). Z. Wahrscheinlichkeitsth. 62, 715.Google Scholar
Goldie, C. M. (1983) On Records and Related Topics in Probability Theory. Thesis, The University of Sussex, School of Mathematical and Physical Sciences.Google Scholar
Goldie, C. M. and Rogers, L. C. G. (1984) The k -record processes are i.i.d. Z. Wahrscheinlichkeitsth. 67, 197211.Google Scholar
Ignatov, Z. (1977) Ein von der Variationsreihe erzeugter Poissonscher Punktprozess. Ann. Univ. Sofia, Fac. Math. Méch. 71, 7994 (published 1986).Google Scholar
Kallenberg, O. (1983) Random Measures, 3d edn. Akademie-Verlag, Berlin.Google Scholar
Matthes, K., Kerstan, J. and Mecke, J. (1978) Infinitely Divisible Point Processes. Wiley, New York.Google Scholar
Stam, A. J. (1985) Independent Poisson processes generated by record values and inter-record times. Stoch. Proc. Appl. 19, 315325.Google Scholar