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L11posted_rev1 - MULTIVARIATE DISTRIBUTIONS DATA Rarely...

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Unformatted text preview: MULTIVARIATE DISTRIBUTIONS, DATA Rarely only one random variable. Usually many { X 1 ,...,X n } & func- tion u ( X 1 ,...,X n ). Need joint distribution. n = 2 . Notation { X,Y } . Joint p.m.f. f ( x,y ) = P ( X = x and Y = y ) ≡ P ( X = x,Y = y ) 1 . Exercise 2.6-3, p 140 x 1 2 3 1 0.05 0.15 0.20 y 2 0.10 0.10 0.10 3 0.15 0.15 0.00 • f ( x,y ) ≥ • ∑ x ∑ y f ( x,y )= 1 • P (( X,Y ) ∈ A ) = ∑∑ ( x,y ) ∈ A f ( x,y ) P ( X + Y ≤ 3 ) = = 0 . 30 . 2 . Marginal probability mass function. f X ( x ) ≡ f 1 ( x ) = P ( X = x ) = X y f ( x,y ) f Y ( y ) ≡ f 2 ( y ) = P ( Y = y ) = X x f ( x,y ) x 1 2 3 1 0.05 0.15 0.20 0.40 y 2 0.10 0.10 0.10 0.30 3 0.15 0.15 0.00 0.30 0.30 0.40 0.30 Find P ( X ≤ 2) = either from joint or marginal. 3 Conditional probability mass func- tion. f X | Y ( x | y ) = f ( x,y ) f Y ( y ) f Y | X ( y | x ) = f ( x,y ) f X ( x ) Notation differs from your text....
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This note was uploaded on 01/03/2012 for the course EE 1244 taught by Professor Drera during the Fall '10 term at Conestoga.

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L11posted_rev1 - MULTIVARIATE DISTRIBUTIONS DATA Rarely...

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