joint cumulative distribution function
Let X1,X2,…,Xn be n random variables all defined on the same probability space
. The joint cumulative distribution function of X1,X2,…,Xn, denoted by FX1,X2,…,Xn(x1,x2,…,xn), is the following function:
FX1,X2,…,Xn:Rn→R
FX1,X2,…,Xn(x1,x2,…,xn)=P[X1≤x1,X2≤x2,…,Xn≤xn]
As in the unidimensional case, this function satisfies:
-
1.
lim 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 |