A random environment is modeled by an arbitrary stochastic process, the future of which is described by a [sigma]-algebra. Baxter and Li (1994) discussed generalizations of standard limit theorems of renewal theory to the case where a random environment is involved. In this paper, we consider superposition of renewal processes in a random environment. In particular, the central limit theorem and other limiting properties of superposition of renewal processes in a random environment are derived.Central limit theorem Residual life Current life [sigma]-algebra Reverse martingale
For the renewal counting processM(t) = min {k: Sk> t} and the independent of it nonnegative rand...
Lam and Lehoczky (1991) have recently given a number of extensions of classical renewal theorems to ...
This monograph serves as an introductory text to classical renewal theory and some of its applicatio...
This paper deals with a generalization of the class of renewal processes with absolutely continuous ...
This paper deals with a generalization of the class of renewal processes with absolutely continuous ...
Random recurrence relations are stochastic difference equations, which define recursively a sequence...
A characterization is given of the random vectors (X, X’) satisfying the equation X ~ X’ ~ U(X + X’)...
A characterization is given of the random vectors (X, X’) satisfying the equation X ~ X’ ~ U(X + X’)...
A characterization is given of the random vectors (X, X’) satisfying the equation X ~ X’ ~ U(X + X’)...
We replicate a renewal process at random times, which is equivalent to nesting two renewal processes...
AbstractLam and Lehoczky (1991) have recently given a number of extensions of classical renewal theo...
This thesis consists of four papers. In paper 1, we prove central limit theorems for Markov chains u...
Compound stochastic processes are constructed by taking the superpositive of independent copies of s...
We present some limit theorems for branching processes in random environments, which can be found in...
This thesis consists of four papers. In paper 1, we prove central limit theorems for Markov chains u...
For the renewal counting processM(t) = min {k: Sk> t} and the independent of it nonnegative rand...
Lam and Lehoczky (1991) have recently given a number of extensions of classical renewal theorems to ...
This monograph serves as an introductory text to classical renewal theory and some of its applicatio...
This paper deals with a generalization of the class of renewal processes with absolutely continuous ...
This paper deals with a generalization of the class of renewal processes with absolutely continuous ...
Random recurrence relations are stochastic difference equations, which define recursively a sequence...
A characterization is given of the random vectors (X, X’) satisfying the equation X ~ X’ ~ U(X + X’)...
A characterization is given of the random vectors (X, X’) satisfying the equation X ~ X’ ~ U(X + X’)...
A characterization is given of the random vectors (X, X’) satisfying the equation X ~ X’ ~ U(X + X’)...
We replicate a renewal process at random times, which is equivalent to nesting two renewal processes...
AbstractLam and Lehoczky (1991) have recently given a number of extensions of classical renewal theo...
This thesis consists of four papers. In paper 1, we prove central limit theorems for Markov chains u...
Compound stochastic processes are constructed by taking the superpositive of independent copies of s...
We present some limit theorems for branching processes in random environments, which can be found in...
This thesis consists of four papers. In paper 1, we prove central limit theorems for Markov chains u...
For the renewal counting processM(t) = min {k: Sk> t} and the independent of it nonnegative rand...
Lam and Lehoczky (1991) have recently given a number of extensions of classical renewal theorems to ...
This monograph serves as an introductory text to classical renewal theory and some of its applicatio...