On the rate of beta-mixing and convergence to a stationary distribution in continuous-time Erlang-type systems.

Autor:	Veretennikov, A. Yu
Předmět:	STOCHASTIC convergence POLYNOMIALS ERLANG (Computer program language) DISTRIBUTION (Probability theory) EXPONENTS
Zdroj:	Problems of Information Transmission; Dec2010, Vol. 46 Issue 4, p382-389, 8p
Abstrakt:	We establish sufficient conditions for polynomial rate of convergence to a stationary distribution and of beta-mixing in continuous-time Erlang-type systems. Our results are a natural complement both to results of Erlang himself, dating back to the beginning of the 20th century, and to exponential estimates established later. [ABSTRACT FROM AUTHOR]
Databáze:	Complementary Index
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