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Title _å–¥æœ èª¿æł¸ï¼‹ï¼¨ï¼°çfl¨ã»Ò€ Author 5001 Created Date 3/12/21 955 AM. Ë ' 0 G % í { Å Ì } v Title Microsoft Word R2 å¤ªç °ä¸­å­¦æ ¡å­¦æ ¡å ±1æ å ·â ¡doc Author gotouhiroshi Created Date. • Note that the product formula for mgf’s involves the sum of two independent rv’s, not the product The reason behind this is that the definition of the mgf of X Y is the expectation of et(XY ), which is equal to the product etX ·etY In case of indepedence, the expectation of that product is the product of the expectations.

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Sew150i sew1500i sew12ki Ђ傤 30 60 150 300 600 1500 3000 6000 100 ŏ \ i ڗʁj. KZ‘R/’è ® £ P ± @ O Pè Í ¦ ·  · Ï · ³ ó Ø ¤ ŒœS. Of uncorrelated rvs that are not independent Note in passing that Cov(X,X) = Var(X) The correlation coefficient of X,Y is defined by ρ = σ X,Y σ Xσ Y, and it always holds that −1 ≤ ρ ≤ 1 When ρ = 1, X and Y are said to be perfectly (positively) correlated 12.

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