joint cumulative distribution function


Let X1,X2,…,Xn be n random variablesMathworldPlanetmath all defined on the same probability spaceMathworldPlanetmath. 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. 1.

    lim(x1,…,xn)→(-∞,…,-∞)⁡FX1,X2,…,Xn⁢(x1,…,xn)=0 and lim(x1,…,xn)→(∞,…,∞)⁡FX1,X2,…,Xn⁢(x1,…,xn)=1

  2. 2.

    FX1,X2,…,Xn⁢(x1,…,xn) is a monotoneMathworldPlanetmath, nondecreasing function.

  3. 3.

    FX1,X2,…,Xn⁢(x1,…,xn) is continuousMathworldPlanetmath from the right in each variable.

The way to evaluate FX1,X2,…,Xn⁢(x1,…,xn) is the following:

FX1,X2,…,Xn⁢(x1,…,xn)=∫-∞x1∫-∞x2⋯⁢∫-∞xnfX1,X2,…,Xn⁢(u1,…,un)⁢𝑑u1⁢𝑑u2⁢⋯⁢𝑑un

(if F is continuous) or

FX1,X2,…,Xn⁢(x1,…,xn)=∑i1≤x1,…,in≤xnfX1,X2,…,Xn⁢(i1,…,in)

(if F is discrete),

where fX1,X2,…,Xn is the joint density function of X1,…,Xn.

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