Joint Probability Density and Dependence of Derived Random Variables U and V, Slides of Probability and Stochastic Processes

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

2011/2012

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CS723 - Probability
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Download Joint Probability Density and Dependence of Derived Random Variables U and V and more Slides Probability and Stochastic Processes in PDF only on Docsity!

CS723 - Probability

and

Stochastic Processes

CS723 - Probability

and

Stochastic Processes

  • Lecture No. 24Lecture No.

Event A on f

UV

(u,v)

Probability Computation

dv

e

dv

du

e

e

dv

du

e

Pr(A)

50

3v/

50

(^66) -

u/

3v/

50

(^66) -

)/ v 3

u (

 

Independence of U and V

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

Pair of Derived RV’s

Red area represents event B where

B = {(X+Y) > 50

&

0.5 < (Y/X) < 2}

Probability Computation

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

  

  

  

  

  

  

  

  

Computing F

UV

(u,v)

Surface Plot of F

UV

(u,v)

Surface Plot of f

UV

(u,v)

Event B on f

UV

(u,v)

Probability Computation

dv

du

) 1 u ( e v

dv

du

e

u

v

Pr(B)

50

2

2

) 1

u (

20

) 2

u ( v

50

2

) 1

u (

20

) 2 u ( v 2 

  





 





 