Recent content by finanmath
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Conditionnal moments of a normal distribution
In fact I have started this way for the conditionnal variance, but I m not sure if it s right: E=belong to (logic operator) V(Y|x E A)=V(Muy + Sy*(rho*Vx+Vy*(1-rho^2)^0.5 )|x E A)=V(Sy*(rho*Vx+Vy*(1-rho^2)^0.5 )|x E A)=Sy^2*rho^2*V(Vx/X E A)+ Sy^2*(1-rho^2)*V(Vy|x E A) there is no...- finanmath
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- Forum: Precalculus Mathematics Homework Help
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Conditionnal moments of a normal distribution
Please Help me ! I am feeling very lost in this exercise and can't do it without someone's help. Don't hesitate to ask me any questions.- finanmath
- Post #2
- Forum: Precalculus Mathematics Homework Help
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The difference btwn marginal distribution and conditional distribution ?
I can help you with the marginal distribution. You have to find the individual probability of each mode of transportation for instance : P(Car)=(82/420) P(BUS)=(126/420) p(tRAIN)=212/420 SUM OF PROB EQUAL ONE, SO YOU HAVE A MARGINAL DISTRIBUTION. FOR...- finanmath
- Post #2
- Forum: Precalculus Mathematics Homework Help
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Conditionnal moments of a normal distribution
Homework Statement We have Vx,Vy following a Normal standardized distribution from which we construct the following correlated variables: X, Y. We consider the events such that x(belong to)A, with 0 < Pr[x(belong to) A] <1. We want to compute V(Y|X E A), Cov(X,Y|X E A) in order to compute...- finanmath
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- Distribution Moments Normal Normal distribution
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- Forum: Precalculus Mathematics Homework Help