joint cumulative distribution function
Let be random variables![]()
all defined on the same probability space
![]()
. The joint cumulative distribution function of , denoted by , is the following function:
As in the unidimensional case, this function satisfies:
-
1.
and
-
2.
is a monotone

, nondecreasing function.
-
3.
is continuous

from the right in each variable.
The way to evaluate is the following:
(if is continuous) or
(if is discrete),
where is the joint density function of .
| Title | joint cumulative distribution function |
|---|---|
| Canonical name | JointCumulativeDistributionFunction |
| Date of creation | 2013-03-22 11:54:52 |
| Last modified on | 2013-03-22 11:54:52 |
| Owner | mathcam (2727) |
| Last modified by | mathcam (2727) |
| Numerical id | 9 |
| Author | mathcam (2727) |
| Entry type | Definition |
| Classification | msc 60A10 |
| Synonym | joint cumulative distribution |