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A Swiss Army formula of Palm calculus

Published online by Cambridge University Press:  14 July 2016

P. Brémaud*
Affiliation:
Laboratoire des Signaux et Systèmes, CNRS
*
Postal address: Laboratoire des Signaux et Systèmes, CNRS–ESE, Plateau de Moulon, 91190 Gif-sur-Yvette, France.

Abstract

We obtain a single formula which, when its components are adequately chosen, transforms itself into the main formulas of the Palm theory of point processes: Little's L = λW formula [10], Brumelle's H = λG formula [5], Neveu's exchange formula [14], Palm inversion formula and Miyazawa's rate conservation law [12]. It also contains various extensions of the above formulas and some new ones.

MSC classification

Type
Research Papers
Copyright
Copyright © Applied Probability Trust 1993 

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References

[1] Baccelli, F. and Bremaud, P. (1987) Palm Probabilities and Stationary Queueing Systems. Lecture Notes in Statistics 41, Springer-Verlag, New York.Google Scholar
[2] Bremaud, P. (1991) An elementary proof of Sengupta's invariance relation and a remark on Miyazawa's conservation principle. J. Appl. Prob. 28, 950954.CrossRefGoogle Scholar
[3] Bremaud, P. (1992) Deterministic asymptotic analysis of discrete event systems: a review. Submitted.Google Scholar
[4] Brill, P. H. and Posner, M. J. M. (1982) The system point method in exponential queues: a level crossing approach. Math. Operat. Res. 6, 3149.CrossRefGoogle Scholar
[5] Brumelle, S. L. (1971) On the relation between customer and time averages in queues. J. Appl. Prob. 8, 508520.CrossRefGoogle Scholar
[6] Ferrandiz, J. M. and Lazar, A. (1990) Rate conservation for stationary processes. J. Appl. Prob. 28, 146158.Google Scholar
[7] Franken, P., König, D., Arndt, U. and Schmidt, V. (1981) Queues and Point Processes. Wiley, New York.Google Scholar
[8] Glynn, P. W. and Whitt, W. (1989) Extensions of the queueing relations L = ?W and H = ?G. Operat. Res. 37, 634644.CrossRefGoogle Scholar
[9] Halfin, S. and Whitt, W. (1989) An extremal property of the FIFO discipline via an ordinal version of L = ?W. Commun Statist. Stoch. Models. 5, 515529.CrossRefGoogle Scholar
[10] Little, J. D. C. (1961) A proof of the queueing formula L = ?W. Operat. Res. 9, 383387.CrossRefGoogle Scholar
[11] Loynes, R. M. (1962) The stability of queues with non independent interarrival and service time distributions. Proc. Camb. Phil. Soc. 58, 497520.Google Scholar
[12] Miyazawa, M. (1985) The intensity conservation law for queues with randomly changed service rate. J. Appl. Prob. 22, 408418.Google Scholar
[13] Miyazawa, M. (1990) Derivation of Little's and related formulas by rate conservation law with multiplicity. Preprint.Google Scholar
[14] Neveu, J. (1976) Sur les mesures de Palm de deux processus ponctuels stationnaires. Z. Wahrscheinlichkeitsth. 34, 199203.Google Scholar
[15] Sigman, K. (1991) A note on a sample path rate conservation law and its relationship with H = ?G. Adv. Appl. Prob. 23, 661665.Google Scholar
[16] Whitt, W. (1991) A review of L = kW and extensions. QUESTA 9, 235268.Google Scholar
[17] Whitt, W. (1992) H = kG and the Palm transformation. Adv. Appl. Prob. 24, 755758.Google Scholar