ArticleOriginal scientific text

Title

On the limit distributions of kth order statistics for semi-pareto processes

Authors 1, 2, 3

Affiliations

  1. Institute of Mathematics, Pedagogical University, ul. M. Konopnickiej 21, 25-406 Kielce, Poland
  2. Department of Mathematics, Kielce University of Technology, al. Tysiąclecia Państwa Polskiego 7, 25-314 Kielce, Poland
  3. Faculty of Civil and Environment Engineering, Department of Building Constructions, Częstochowa Technical University, ul. Akademicka 3, 42-200 Częstochowa, Poland

Abstract

Asymptotic properties of the kth largest values for semi-Pareto processes are investigated. Conditions for convergence in distribution of the kth largest values are given. The obtained limit laws are represented in terms of a compound Poisson distribution.

Keywords

extreme values, semi-Pareto process, autoregressive process

Bibliography

  1. B. C. Arnold and J. T. Hallett, A characterization of the Pareto process among stationary stochastic processes of the form Xn= c min(Xn-1,Yn), Statist. Probab. Lett. 8 (1989), 377-380.
  2. J. Gani, On the probability generating function of the sum of Markov Bernoulli random variables, J. Appl. Probab. 19A (1982), 321-326.
  3. M. R. Leadbetter, G. Lindgren and H. Rootzén, Extremes and Related Properties of Random Sequences and Processes, Springer, New York, 1983.
  4. J. Pawłowski, Poisson theorem for non-homogeneous Markov chains, J. Appl. Probab. 26 (1989), 637-642.
  5. R. N. Pillai, Semi-Pareto processes, ibid. 28 (1991), 461-465.
  6. Y. H. Wang, On the limit of the Markov binomial distribution, ibid. 18 (1981), 937-942.
  7. H. C. Yeh, B. C. Arnold and C. A. Robertson, Pareto processes, ibid. 25 (1988), 291-301.
Pages:
189-193
Main language of publication
English
Received
1995-10-30
Accepted
1996-01-18
Published
1997
Exact and natural sciences