(1) When X ~ N(a, b²) then the density of Y = e* is called a lognormal density. Using P(Y < y) and its derivative, obtain the density of Y. The following answers are proposed. (as fy (y) = -e-(In(v)-a° / (2b²). (2ab³)/2 -e-(In(y)+a)° / (2b³). y > 0. (b) fy (y) = 1 y (2xb*)/2 -e-(In(y)-a)² / (2b³). y > 0. (e fy (y) = y (2xb*)l/2 -e-(In(y)+a)° / (2b²)_ y > 0. (d) fy (y) = 1 (2xb³)l/2 y > 0. (e) None of the above

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(1) When X - N(a, b²) then the density of Y = e^ is called a lognormal density. Using P(Y< y) and its derivative, obtain the density of
The following answers are proposed.
Y.
cao fy (y) =
-e-(In(y)-a)² / (2b²).
(a)
(2nb²)1/2
y > 0.
(b» fy (y) =
e-(In(y)+a)² / (2b²).
1
y (2xb²)!/2
y > 0.
y (2nb³j/2 e-(In(v)–-a)² / (2b³)
-(In(v)+a)² / (2b³).
(o fy (y) =
1
y > 0.
(d) fy (y) =
e
(2xb²)1/2
(e) None of the above
y > 0.
Transcribed Image Text:(1) When X - N(a, b²) then the density of Y = e^ is called a lognormal density. Using P(Y< y) and its derivative, obtain the density of The following answers are proposed. Y. cao fy (y) = -e-(In(y)-a)² / (2b²). (a) (2nb²)1/2 y > 0. (b» fy (y) = e-(In(y)+a)² / (2b²). 1 y (2xb²)!/2 y > 0. y (2nb³j/2 e-(In(v)–-a)² / (2b³) -(In(v)+a)² / (2b³). (o fy (y) = 1 y > 0. (d) fy (y) = e (2xb²)1/2 (e) None of the above y > 0.
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