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A portion of lecture notes from a university course on probability and stochastic processes (cs723). It covers the topic of joint probability density functions of derived random variables u and v, and the computation of their probabilities. The lecture also discusses the independence or dependence of u and v, and provides an example problem with its solution.
Typology: Slides
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UV
50
3v/
50
(^66) -
u/
3v/
50
(^66) -
)/ v 3
u (
10 / v
20 / v
v
v
)/ v 3 - u ( V
e
e
1 .
0
du
e
(v)
f
u (
e
dv
e
u (
e
dv
e
(u)
f
20 / u
u
)/ v 3
u (
10 / u
u
)/ v 3 - u ( U
) v , u ( f e e 1
(v)
f
(u)
f
UV
10 / ) v
u (
20 / ) v u 2 ( V U
Red area represents event B where
B = {(X+Y) > 50
&
0.5 < (Y/X) < 2}
dx
dy
e
e
005 .
0
dx
dy
e
e
005 .
0
dx
dy
e
dx
dy
e
Pr(B)
100/
2x x/
y/
x/
100/ 50/
2x
x
50
y/
x/
100/
2x x/
y)/
(2x
100/ 50/
x 2
x
50
y)/
(2x
UV
UV
UV
UV
50
2
2
) 1
u (
20
) 2
u ( v
50
2
) 1
u (
20