Exponential distribution: Difference between revisions

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imported>Michael Hardy
(→‎A basic introduction to the concept: This example is dubious. Cleaned up notation.)
imported>Michael Hardy
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The main and unique characteristic of the exponential distribution is that the [[conditional probability|conditional probabilities]] P(''X'' > ''x'' + 1) stay constant for all values of ''x''.
The main and unique characteristic of the exponential distribution is that the [[conditional probability|conditional probabilities]] P(''X'' > ''x'' + 1) stay constant for all values of ''x''.


More generally,  we have P(''X'' > ''x'' + ''s'' | ''X'' > ''x'')= P(''X'' > ''s'') for all ''x'', ''s'' ≥ 0.
More generally,  we have P(''X'' > ''x'' + ''s'' | ''X'' > ''x'') = P(''X'' > ''s'') for all ''x'', ''s'' ≥ 0.


===Formal definition===
===Formal definition===

Revision as of 19:40, 8 July 2007

The exponential distribution is any member of a class of continuous probability distributions assigning probability

to the interval [x, ∞).

It is well suited to model lifetimes of things that don't "wear out", among other things.

The exponential distribution is one of the most important elementary distributions.

A basic introduction to the concept

The main and unique characteristic of the exponential distribution is that the conditional probabilities P(X > x + 1) stay constant for all values of x.

More generally, we have P(X > x + s | X > x) = P(X > s) for all x, s ≥ 0.

Formal definition

Let X be a real, positive stochastic variable with probability density function

Then X follows the exponential distribution with parameter .

References

See also

Related topics

External links