Abstract
Let Xn
be non-negative random variables, possessing the Markov property. We given criteria for deciding whether Pr(X
n
→∞) is positive or 0. It turns out that essentially this depends on the magnitude of E(Xn
+1 | Xn
= x) compared to that of E(X
2
n+1 | Xn
= x) for large x. The assumptions are chosen such that for example population-dependent branching processes can be treated by our results.
Publisher
Cambridge University Press (CUP)
Subject
Statistics, Probability and Uncertainty,General Mathematics,Statistics and Probability
Cited by
13 articles.
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