ArticleOriginal scientific text
Title
On the limit distributions of kth order statistics for semi-pareto processes
Authors 1, 2, 3
Affiliations
- Institute of Mathematics, Pedagogical University, ul. M. Konopnickiej 21, 25-406 Kielce, Poland
- Department of Mathematics, Kielce University of Technology, al. Tysiąclecia Państwa Polskiego 7, 25-314 Kielce, Poland
- 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
- B. C. Arnold and J. T. Hallett, A characterization of the Pareto process among stationary stochastic processes of the form
= c min( , ), Statist. Probab. Lett. 8 (1989), 377-380. - J. Gani, On the probability generating function of the sum of Markov Bernoulli random variables, J. Appl. Probab. 19A (1982), 321-326.
- M. R. Leadbetter, G. Lindgren and H. Rootzén, Extremes and Related Properties of Random Sequences and Processes, Springer, New York, 1983.
- J. Pawłowski, Poisson theorem for non-homogeneous Markov chains, J. Appl. Probab. 26 (1989), 637-642.
- R. N. Pillai, Semi-Pareto processes, ibid. 28 (1991), 461-465.
- Y. H. Wang, On the limit of the Markov binomial distribution, ibid. 18 (1981), 937-942.
- H. C. Yeh, B. C. Arnold and C. A. Robertson, Pareto processes, ibid. 25 (1988), 291-301.