A renewal process is a stochastic point process {N(t) = number of occurrences by time t} which describes the appearance of a sequence of instant random events where the times between occurrences (e.g., called interarrival times in queueing theory) are a sequence of independent and identically distributed (i.i.d.) random variables. It is common to write the interoccurrence distribution function as F(t) and its density (if it exists) as f(t), with expected value 1/μ. The Poisson process represents a particularly important renewal process in which the intervals between occurrences are identically exponentially distributed (Cox, 1960; Cox and Isham, 1980; Feller, 1966; Smith, 1955).
The so-called renewal equation for the process expectation (or renewal function) H(t) = Ev[N(t)], plays a fundamental role in all renewal problems:
The derivative of H(t), h(t) = dH/dt, is often called the intensity function and has a simple interpretation: h(t)dtis the approximate probability of an...
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References
Cox, D.R. (1960). Renewal Theory, Methuen, New York.
Cox, D.R. and Isham, V. (1980). Point Processes, Chapman and Hall, New York.
Feller, W. (1966). Introduction to Probability Theory and Its Applications, vol. II, John Wiley, New York.
Smith, W.L. (1955). “Regenerative Stochastic Processes,” Proc. Royal Society, Ser. A, 232, 6–31.
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© 2001 Kluwer Academic Publishers
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Ushakov, I. (2001). Renewal processes. In: Gass, S.I., Harris, C.M. (eds) Encyclopedia of Operations Research and Management Science. Springer, New York, NY. https://doi.org/10.1007/1-4020-0611-X_880
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DOI: https://doi.org/10.1007/1-4020-0611-X_880
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