Let the r.v.s X and Y have the Bivariate normal distribution with parameters μ 1 , μ

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Let the r.v.sXandYhave the Bivariate normal distribution with parameters μ1, μ2in Â, 0 < s1, s2< ¥, andrÃŽ [€“ 1, 1] so that their joint probability density function (p.d.f.) is given by

Px,y(x, y) = 2πσισ2ν1- ρ? e 9/2

Where

Let the r.v.s X and Y have the Bivariate normal

(i) Show that the exponent may be written thus:

Let the r.v.s X and Y have the Bivariate normal

Let the r.v.s X and Y have the Bivariate normal

Where b = m2 + rs2/s1 (x €“ m1)

(ii) From part (i), it follows that:

Let the r.v.s X and Y have the Bivariate normal

Let the r.v.s X and Y have the Bivariate normal

From this expression, and without any actual integration, conclude that the r.v. X is distributed as N (m1, s21); i.e., X ~ N (μ1, s21), and by symmetry, Y ~ N (m2, s22).

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The word "distribution" has several meanings in the financial world, most of them pertaining to the payment of assets from a fund, account, or individual security to an investor or beneficiary. Retirement account distributions are among the most...
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