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The Exponential Distribution

Widely used in science / engineering, this family has a single parameter l >0 with the following pdf:

For any positive l, the p.d.f. has a value of l at x=0 and as x becomes larger the pdf quickly starts to become asymptotic with the x-axis and approaches a value of 0 as x approaches ¥.

The expected value and variance of X are given by

The cumulative distribution function is easily computed as:
Thus
Pr(a£X£b) = 
Note that this is the same as F(b)-F(a)...


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Next: Relationship with the Poisson Distribution
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Jayant Rajgopal