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Residual time : ウィキペディア英語版
Residual time
In the theory of renewal processes, a part of the mathematical theory of probability, the residual time or the forward recurrence time is the time between any given time t and the next epoch of the renewal process under consideration.
The residual time is very important in most of the practical applications of renewal processes:
* In queueing theory, it determines the remaining time, that a newly arriving customer to a non-empty queue has to wait until being served.〔William J. Stewart, "Probability, Markov Chains, Queues, and Simulation: The Mathematical Basis of Performance Modeling", Princeton University Press, 2011, ISBN 1-4008-3281-0, 9781400832811〕
* In wireless networking, it determines, for example, the remaining lifetime of a wireless link on arrival of a new packet.
* In dependability studies, it models the remaining lifetime of a component.
* etc.
== Formal definition ==

Consider a renewal process \, with ''holding times'' S_ and ''jump times'' (or renewal epochs) J_, and i\in\mathbb. The holding times S_ are non-negative, independent, identically distributed random variables and the renewal process is defined as N(t) = \sup\. Then, to a given time t, there corresponds uniquely an N(t), such that:
:J_ \leq t < J_. \,
The residual time (or excess time) is given by the time Y(t) from t to the next renewal epoch.
:Y(t) = J_ - t. \,

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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