Exponential distribution: Difference between revisions
Jump to navigation
Jump to search
imported>Meg Taylor (update template) |
mNo edit summary |
||
Line 30: | Line 30: | ||
==References== | ==References== | ||
{{reflist}} | {{reflist}}[[Category:Suggestion Bot Tag]] |
Latest revision as of 16:00, 14 August 2024
The exponential distribution is any member of a class of continuous probability distributions assigning probability
to the interval [x, ∞), for x ≥ 0.
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 satisfy 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
for x ≥ 0. Then X follows the exponential distribution with parameter .