Multivariate random variable

Joint cumulative distribution function

The joint cumulative distribution function of a multivariate random variable ⃗𝐗 =(𝑋𝑖)𝑛𝑖=1 is #m/def/prob

𝐹⃗𝐗(⃗𝐱)=ℙ(𝑛⋂𝑖=1{𝑋𝑖≤𝑥𝑖})

In order to find the cumulative distribution function of a single component 𝑋𝑖 of ⃗𝐗, called its marginal cumulative distribution function, one takes the limit of all other components

ℙ(𝑋𝑖≤𝑥𝑖)=lim𝑥𝑗→∞,∀𝑗≠𝑖𝐹⃗𝐗(⃗𝐱)


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