Multivariate random variable

Joint cumulative distribution function

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

𝐹⃗𝐗(⃗𝐱)=β„™(𝑛⋂𝑖=1{𝑋𝑖≀π‘₯𝑖})

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

β„™(𝑋𝑖≀π‘₯𝑖)=limπ‘₯π‘—β†’βˆž,βˆ€π‘—β‰ π‘–πΉβƒ—π—(⃗𝐱)


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