In Exercise 5.13, the joint density function of Y1 and Y, is given by 30yı y, yı – 1< y½ <1– yı, 0 < yı < 1, f (y1, y2) = 0, elsewhere. a Show that the marginal density of Y, is a beta density with a = 2 and ß = 4. b Derive the marginal density of Y2. c Derive the conditional density of Y2 given Y1 = y1- d Find P(Y, > 0IY, = 75).

MATLAB: An Introduction with Applications
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Chapter1: Starting With Matlab
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In Exercise 5.13, the joint density function of Y1 and Y2 is given by
| 30y1y3, yı – 1 < y2 <1 – yı, 0 < yı < 1,
f (y1, y2) =
0,
elsewhere.
a Show that the marginal density of Y¡ is a beta density with a = 2 and B = 4.
b Derive the marginal density of Y2.
Derive the conditional density of Y2 given Y1 = y1.
d Find P(Y2 > 0[Y, = .75).
Transcribed Image Text:In Exercise 5.13, the joint density function of Y1 and Y2 is given by | 30y1y3, yı – 1 < y2 <1 – yı, 0 < yı < 1, f (y1, y2) = 0, elsewhere. a Show that the marginal density of Y¡ is a beta density with a = 2 and B = 4. b Derive the marginal density of Y2. Derive the conditional density of Y2 given Y1 = y1. d Find P(Y2 > 0[Y, = .75).
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