Probability Generating Functions

  • Context: Undergrad 
  • Thread starter Thread starter EthanW
  • Start date Start date
  • Tags Tags
    Functions Probability
Click For Summary
SUMMARY

The discussion centers on Probability Generating Functions (PGFs), specifically the PGF of a random variable X represented as H(s) = (1/3)(1+s+s²). The user seeks to derive the PGF for a new random variable Y, defined as Y = X + 1. The correct approach involves recognizing that the PGF for Y can be expressed as G_Y(s) = s * H(s), leading to G_Y(s) = (1/3)(s + s² + s³). This transformation is crucial for understanding the relationship between PGFs of related random variables.

PREREQUISITES
  • Understanding of Probability Generating Functions (PGFs)
  • Familiarity with random variables and their transformations
  • Basic knowledge of expected values in probability
  • Experience with polynomial functions and their properties
NEXT STEPS
  • Study the properties of Probability Generating Functions in detail
  • Learn how to derive PGFs for sums of independent random variables
  • Explore applications of PGFs in combinatorial problems
  • Investigate the relationship between PGFs and moment generating functions
USEFUL FOR

Students and professionals in statistics, mathematicians, and anyone interested in advanced probability theory and its applications.

EthanW
Messages
2
Reaction score
0
Hello,

I am trying to get the hang of Probability Generating Functions, but I don't quite understand them fully.

For example, I've got the PGF of a random variable X, called H:
H(s) = \frac{1}{3}\cdot(1+s+s^2)

Now, then there is a random variable Y, with Y = X + 1, and I want to solve the PGF of Y I do:
G_Y(s) = G_{x+1}(s) = E[s^{x+1}] = E[s^x]\cdot E<s> = ? </s>

I don't know how to go further at this point, can someone point me in the right direction?

Thanks.
 
Physics news on Phys.org
EthanW said:
Hello,

I am trying to get the hang of Probability Generating Functions, but I don't quite understand them fully.

For example, I've got the PGF of a random variable X, called H:
H(s) = \frac{1}{3}\cdot(1+s+s^2)

Now, then there is a random variable Y, with Y = X + 1, and I want to solve the PGF of Y I do:
G_Y(s) = G_{x+1}(s) = E[s^{x+1}] = E[s^x]\cdot E<s> = ? </s>

I don't know how to go further at this point, can someone point me in the right direction?

Thanks.


Your original PGF simply means that P(0) = P(1) = P(2) = 1/3.

If you want P(1) = P(2) = P(3) = 1/3, the generating function is

\frac{1}{3} (s + s^2 + s^3)
 
Thanks, very useful information. I made some other exercises and they've become more clear now. :)
 

Similar threads

  • · Replies 1 ·
Replies
1
Views
3K
  • · Replies 2 ·
Replies
2
Views
2K
Replies
8
Views
3K
  • · Replies 1 ·
Replies
1
Views
3K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 6 ·
Replies
6
Views
3K
  • · Replies 3 ·
Replies
3
Views
3K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 3 ·
Replies
3
Views
785
  • · Replies 1 ·
Replies
1
Views
2K