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Convexity and Complete Monotonicity in Queueing Distributions and Associated Limit Behavior

  • Julian Keilson
Conference paper
Part of the Lecture Notes in Economics and Mathematical Systems book series (LNE, volume 98)

Abstract

Congestion theory is often called upon for insight into the behavior of a random system for which governing distribution forms and parameters are unavailable, and the fidelity of any simple mathematical model subject to question. Indeed, most applied problems have this character. To be helpful, the guidance offered should be simple and substantially insensitive to missing structural detail, i.e., should be “robust”. Such robustness may be hoped for when the system behavior of interest is in the limit-theoretic domain. e.g., is associated with the law of large numbers, or the central limit theorem, or the limit theorem for rare events. When limit theorems are of interest, one must know how valid the limit theorem is and how close one is to normality or exponentiality. Inequalities and bounds obtained from underlying structural features of the system may be needed. For such objectives, an awareness of convexity present and exploitation of this convexity is often useful.

Keywords

Sojourn Time Exit Time Time Density Moment Inequality Exponential Density 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin · Heidelberg 1974

Authors and Affiliations

  • Julian Keilson
    • 1
  1. 1.University of RochesterUSA

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