Ralph Vince - Portfolio Mathematics

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Probability Distributions 85

FIGURE 2.28 Cumulative probability functions for the Poisson Distribution
(L=4.5)

The Exponential Distribution


Related to the Poisson Distribution is a continuous distribution with a wide
utility called theExponential Distribution, sometimes also referred to as
theNegative Exponential Distribution. This distribution is used to model
interarrival times in queuing systems; service times on equipment; and sud-
den, unexpected failures such as equipment failures due to manufacturing
defects, light bulbs burning out, the time that it takes for a radioactive
particle to decay, and so on. (There is a very interesting relationship be-
tween the Exponential and the Poisson Distributions. The arrival of calls
to a queuing system follows a Poisson Distribution, with arrival rate L. The
interarrival distribution (the time between the arrivals) is Exponential with
parameter 1/L.)
The probability density function N′(X) for the Exponential Distribution
is given as:

N′(X)=A∗EXP(−A∗X) (2.47)

where: A=The single parametric input, equal to 1/L in the Poisson
Distribution. A must be greater than 0.
EXP( )=The exponential function.
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