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The two-dimensional Poisson process and extremal processes

Published online by Cambridge University Press:  14 July 2016

James Pickands III*
Affiliation:
University of Pennsylvania

Abstract

In recent years many applications of probability theory have involved such concepts as records, inter-record times and extreme order statistics. The results have generally been proved by diverse methods. In the present work a unifying structure is presented, which makes possible the simplification and extension of some of these results. The approach taken is to place all relevant processes on the same sample space. The underlying sample space is a homogeneous two-dimensional Poisson process.

Type
Research Papers
Copyright
Copyright © Applied Probability Trust 1971 

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References

[1] Barndorff-Nielsen, O. (1963) On the limit behavior of extreme order statistics. Ann. Math. Statist. 34, 9921002.Google Scholar
[2] Barndorff-Nielsen, O. (1964) On the limit distribution of the maximum of a random number of independent random variables. Acta Math. Acad. Sci. Hung. 15, 399402.CrossRefGoogle Scholar
[3] Berman, S. M. (1964) Limiting distribution of the maximum of a diffusion process. Ann. Math. Statist. 35, 319329.Google Scholar
[4] Billingsley, P. (1968) Convergence of Probability Measures. John Wiley & Sons, Inc., New York.Google Scholar
[5] Breiman, L. (1968) Probability. Addison-Wesley Co., Reading, Mass.Google Scholar
[6] Dwass, M. (1964) Extremal processes. Ann. Math. Statist. 35, 17181725.CrossRefGoogle Scholar
[7] Foster, F. G. and Stuart, A. (1954) Distribution free tests in time series based on the breaking of records. J. R. Statist. Soc. B 16, 122.Google Scholar
[8] Gnedenko, B. V. (1943) Sur la distribution du terme maximum d'une série aléatoire. Ann. Math. 44, 423453.Google Scholar
[9] Gumbel, E. J. (1960) Statistics of Extremes. Columbia University Press, New York.Google Scholar
[10] Holmes, P. T. and Strawderman, W. E. (1969) A note on the waiting times between record observations. J. Appl. Prob. 6, 711714.Google Scholar
[11] Lamperti, J. (1964) On extreme order statistics. Ann. Math. Statist. 35, 17261737.Google Scholar
[12] Neuts, M. F. (1967) Waiting times between record observations. J. Appl. Prob. 4, 206208.CrossRefGoogle Scholar
[13] Parthasarathy, K. R. (1967) Probability Measures on Metric Spaces. Academic Press, New York, London.CrossRefGoogle Scholar
[14] Prohorov, Yu. V. (1956) Convergence of random processes and limit theorems in probability theory. Theor. Probability Appl. 1, 157214.Google Scholar
[15] Renyi, A. (1962) Théorie des éléments saillants d'une suite d'observations. Colloquium on Combinatorial Methods in Probability Theory. Mathematisk Institut, Aarhus Universitet, Denmark, 104115.Google Scholar
[16] Strawderman, W. E. and Holmes, P. T. (1970) On the law of the iterated logarithm for inter-record times. J. Appl. Prob. 7, 432439.CrossRefGoogle Scholar
[17] Tiago De Oliveira, J. (1968) Extremal processes: definitions and properties. Publ. Inst. Statist. Univ. Paris 22.Google Scholar