We present a stochastic model which yields a stationary Markov process whose invariant distribution is maximum stable with respect to the geometrically distributed sample size. In particular, we obtain the autoregressive Pareto processes and the autoregressive logistic processes introduced earlier by Yeh et al
We investigate the asymptotic behavior of total down time of a system in which the breakdown process is an alternating renewal process, under the assumption that the probability of breakdown in a single cycle converges to zero. Using a theorem of R. Serfozo [J. Appl. Probab. 17 (1980), no. 2, 423–431; MR0568952], we find necessary and sufficient conditions for the convergence of the total down time to a compound Poisson process. We use these results in analyzing three examples: pairs of elements...
In this paper, the k-th record value model is presented. The k-th record values has emerged as an important model of ordered random variables. They appears naturally in real life where one interested in successive k-th maximum observations. The k-th record values are formally defined by Dziubdziela i Kopociński (1976). The paper contains distributional theory for this model.
The authors present three methods for proving Poisson's theorem. The first method is based on papers of L. Takács [J. Amer. Statist. Assoc. 62 (1967), 102–113; MR0217832] and J. Galambos [J. Appl. Probab. 11 (1974), 219–222; MR0358923], the second uses results of D. A. Freedman [Ann. Probab. 2 (1974), 256–269; MR0370694] and M. R. Leadbetter [Z. Wahrsch. Verw. Gebiete 28 (1973/74), 298–309; MR0362465], and the third method follows the considerations contained in another paper by Galambos [ibid....
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.
Let be a sequence of independent and identically distributed random variables with continuous distribution function F(x). Denote by X(1,k),X(2,k),... the kth record values corresponding to We obtain some stochastic comparison results involving the random kth record values X(N,k), where N is a positive integer-valued random variable which is independent of the .
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