March 2012 A note on the dependence structure of the two-state Markovian arrival process
Pepa Ramírez-Cobo, Emilio Carrizosa
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J. Appl. Probab. 49(1): 295-302 (March 2012). DOI: 10.1239/jap/1331216848

Abstract

The Markovian arrival process generalizes the Poisson process by allowing for dependent and nonexponential interarrival times. We study the autocorrelation function of the two-state Markovian arrival process. Our findings show that the correlation structure of such a process has a very specific pattern, namely, it always converges geometrically to zero. Moreover, the signs of the autocorrelation coefficients are either constant or alternating.

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Pepa Ramírez-Cobo. Emilio Carrizosa. "A note on the dependence structure of the two-state Markovian arrival process." J. Appl. Probab. 49 (1) 295 - 302, March 2012. https://doi.org/10.1239/jap/1331216848

Information

Published: March 2012
First available in Project Euclid: 8 March 2012

zbMATH: 1236.60047
MathSciNet: MR2952896
Digital Object Identifier: 10.1239/jap/1331216848

Subjects:
Primary: 60G55
Secondary: 60J05

Keywords: autocorrelation function , Markov renewal process , Markovian arrival process

Rights: Copyright © 2012 Applied Probability Trust

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Vol.49 • No. 1 • March 2012
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