1992
DOI: 10.2307/3214719
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Steady-state Markov chain models for the Heine and Euler distributions

Abstract: JSTOR is a not-for-profit service that helps scholars, researchers, and students discover, use, and build upon a wide range of content in a trusted digital archive. We use information technology and tools to increase productivity and facilitate new forms of scholarship. For more information about JSTOR, please contact support@jstor.org.. Applied Probability Trust is collaborating with JSTOR to digitize, preserve and extend access to Journal of Applied Probability. AbstractThe paper puts forward steady-state Ma… Show more

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Cited by 25 publications
(2 citation statements)
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“…For properties and applications of this distribution we refer to Johnson, Kemp and Kotz [12], Benkherouf and Bather [1], Biedenharn [2], Kemp [13,14,16], Charalambides and Papadatos [4] and Ostrovska [19,20].…”
Section: Notation and Definitionsmentioning
confidence: 99%
“…For properties and applications of this distribution we refer to Johnson, Kemp and Kotz [12], Benkherouf and Bather [1], Biedenharn [2], Kemp [13,14,16], Charalambides and Papadatos [4] and Ostrovska [19,20].…”
Section: Notation and Definitionsmentioning
confidence: 99%
“…There exists a rich theory for the class of q-hypergeometric series and their q-calculus, which enables fast calculations and simplifications. In the queuing theory literature there exist only a few articles in which this theory has been applied (see, e.g., Ismail [16], Kemp [18][19][20], and Kemp and Newton [21]). For this reason and for the sake of self-completeness, we will briefly summarize the basic definitions and results of this theory.…”
Section: Model Description and Notationmentioning
confidence: 99%