Joint Distribution of X & Y: Visualizing Relationships

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Homework Help Overview

The discussion revolves around the joint distribution of two variables, X and Y, particularly focusing on the conditions under which the joint density is nonzero. Participants are examining the implications of the relationships between X and Y, especially in cases where one variable is greater than the other.

Discussion Character

  • Exploratory, Assumption checking, Problem interpretation

Approaches and Questions Raised

  • Participants are discussing the correct limits for integration based on the relationship between X and Y. There are suggestions to visualize the problem using a (u,v) plane and to consider different cases based on the values of X and Y.

Discussion Status

Some participants have provided guidance on how to approach the problem, particularly in visualizing the joint distribution and understanding the conditions under which the joint density is defined. There is an acknowledgment of the need for different cases in the integration process, but no consensus has been reached on the final solution.

Contextual Notes

One participant notes that they are struggling with a subsequent problem and questions whether to continue the discussion in the same thread or start a new one. There is a suggestion that new questions should ideally be posted in separate threads to avoid confusion.

Shackleford
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My answer is not really close to the answers provided. They break up the joint distribution into x less than y and y less/equal to x. They have a 1 in their cases. I don't.

http://i111.photobucket.com/albums/n149/camarolt4z28/Untitled-1.png?t=1302832281

http://i111.photobucket.com/albums/n149/camarolt4z28/IMG_20110414_204720-1.jpg?t=1302832297
 
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Here's a better scan of my work.

http://i111.photobucket.com/albums/n149/camarolt4z28/20110415135619705.png?t=1302894190

And the answers provided.

http://i111.photobucket.com/albums/n149/camarolt4z28/untitled-2.jpg?t=1302894320
 
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You don't have the right limits because when x and y are both positive, it matters whether y > x or not. I would suggest you draw a (u,v) plane and the line v = u. Then shade the area where u and v are positive and v < u. That is where your joint density e-u is nonzero.

Now place a point (x,y) somewhere other than on u = v line. Look at the region described by
u ≤ x and v ≤ y. You only integrate over the part of that that is shaded. And your picture will look different depending whether your point (x,y) is above or below the line v = u. That is why you must have two cases for the (u,v) integrals.
 
LCKurtz said:
You don't have the right limits because when x and y are both positive, it matters whether y > x or not. I would suggest you draw a (u,v) plane and the line v = u. Then shade the area where u and v are positive and v < u. That is where your joint density e-u is nonzero.

Now place a point (x,y) somewhere other than on u = v line. Look at the region described by
u ≤ x and v ≤ y. You only integrate over the part of that that is shaded. And your picture will look different depending whether your point (x,y) is above or below the line v = u. That is why you must have two cases for the (u,v) integrals.

Crap. I didn't even think about that. That should be no problem. I'll finish it when I get home from work. Thanks.
 
Okay. I got that. I'm not getting a right answer for a part of the next problem. New thread or should I post it here?
 
Shackleford said:
Okay. I got that. I'm not getting a right answer for a part of the next problem. New thread or should I post it here?

New questions should be in new threads. If you post it in a thread that already has replies, some helpers likely will skip the thread thinking it is already handled by someone else.
 

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