Graduate Deriving a Probability Generating Function for Independent Poisson Variables

Click For Summary
To derive the Probability Generating Function (PGF) for the sum of two independent Poisson variables, ##X## and ##Y##, the correct formula is ##G(t) = e^{-(\lambda_X + \lambda_Y)(1-t)}##. This is based on the property that the PGF of independent random variables can be multiplied. The discussion also touches on the distinction between preparing for a test and completing homework, with forum rules emphasizing the need for effort in problem-solving. Participants suggest posting such questions in a calculus forum for better guidance. Overall, the conversation highlights the importance of understanding PGFs in the context of independent Poisson distributions.
user366312
Gold Member
Messages
88
Reaction score
3
Can anyone kindly tell me how I can derive a Probability Generating Function of Poisson Distribution for ##X+Y## where ##X## and ##Y## are independent?

I know that PGF for a single variate Poisson Distribution is: ##G(t) = e^{-\lambda (1-t)}##.

Then how can I derive a PGF for the same?

Is it: ##G(t) = e^{-(\lambda_X + \lambda_Y)(1-t)}## ?

Why or why not?
 
Last edited:
Physics news on Phys.org
Encyclopedia of Mathematics describes Poisson distribution characteristics according to which you are right.
 
user366312 said:
I am not doing homework. I am preparing for a test. I believe there are differences between these two.
Forum rules do not view it that way
 
  • Like
Likes Dale
StoneTemplePython said:
Forum rules do not view it that way

Okay. I accept.
 
StoneTemplePython said:
Forum rules do not view it that way

Where can/should I post these kinds of problems?
 
user366312 said:
I am not doing homework. I am preparing for a test. I believe there are differences between these two.
user366312 said:
Okay. I accept.
Thank you. You will get great help in the schoolwork forums on your questions, as long as you show your efforts. :smile:
 

Similar threads

  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 12 ·
Replies
12
Views
4K
  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 14 ·
Replies
14
Views
2K
  • · Replies 3 ·
Replies
3
Views
3K
Replies
5
Views
3K
  • · Replies 3 ·
Replies
3
Views
1K
  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 5 ·
Replies
5
Views
914