# PDF- Sinistral, have a look.

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## PDF- Sinistral, have a look.

 This post was updated on . CONTENTS DELETED The author has deleted this message.
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## Re: PDF- Sinistral, have a look.

 This post was updated on . The below solution is not correct. The final and correct solution (verified by Amit Sir) is in the 2nd last post of this thread.I dont think U and V will be independent since both depend on X and Y. F(u,v)= P(UY)     since X can be either greater than Y or less than Y         =P ( X
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## Re: PDF- Sinistral, have a look.

 Uffff. Forgot to make the two cases. x_x Thanks a bunch!!
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## Re: PDF- Sinistral, have a look.

 Hey Devika,  If possible can you please re post the question? :)
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## Re: PDF- Sinistral, have a look.

 In reply to this post by Devika u shudnt have deleted that. because ur method of calculating f(u) and f(v) was correct. But I cant think of a way of going from marginal pdfs to joint pds if the random variables concerned are not independent. ---  "You don't have to believe in God, but you should believe in The Book." -Paul Erdős
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## Re: PDF- Sinistral, have a look.

 In reply to this post by MR Let X and Y denote independent random variables, with the following pdf- f(x) = 2x  0
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## Re: PDF- Sinistral, have a look.

 In reply to this post by Sinistral I deleted because I thought my solution would mislead and baffle others. Also, I took U and V to be independent, and hence multiplied the marginal densities to get the joint pdf.
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## Re: PDF- Sinistral, have a look.

 In reply to this post by Sinistral @Sinistral F(u,v)= P(UY) ????ye kaise strike kiya..grt way
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## Re: PDF- Sinistral, have a look.

 Administrator In reply to this post by Sinistral This is incorrect: F(u,v)= Pr(UY) The correction is: F(u,v)= Pr(UY) Pr(X>Y) Now redo it.
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## Re: PDF- Sinistral, have a look.

 This post was updated on . Oh yes!! how could I miss that. (thank you so much Sir) EDIT F(u,v)= Pr(UY) Pr(X>Y)   (as pointed by Amit Sir and now it seems fairly obvious).                               Pr(UY) * Pr(X>Y)                          =   --------------------------------          ----------------------------                                         Pr(XY)                          =               P ( X
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## Re: PDF- Sinistral, have a look.

 Administrator There is still a mistake. Because U