Probability Generating Function of Binomial Distribution
Jump to navigation
Jump to search
Theorem
Let $X$ be a discrete random variable with the binomial distribution with parameters $n$ and $p$.
Then the p.g.f. of $X$ is:
- $\map {\Pi_X} s = \paren {q + p s}^n$
where $q = 1 - p$.
Proof
From the definition of p.g.f:
- $\ds \map {\Pi_X} s = \sum_{k \mathop \ge 0} \map {p_X} k s^k$
From the definition of the binomial distribution:
- $\map {p_X} k = \dbinom n k p^k \paren {1 - p}^{n - k}$
So:
\(\ds \map {\Pi_X} s\) | \(=\) | \(\ds \sum_{k \mathop = 0}^n \binom n k p^k \paren {1 - p}^{n - k} s^k\) | ||||||||||||
\(\ds \) | \(=\) | \(\ds \sum_{k \mathop = 0}^n \binom n k \paren {p s}^k \paren {1 - p}^{n - k}\) | ||||||||||||
\(\ds \) | \(=\) | \(\ds \paren {\paren {p s} + \paren {1 - p} }^n\) | Binomial Theorem |
Hence the result.
$\blacksquare$
Sources
- 1986: Geoffrey Grimmett and Dominic Welsh: Probability: An Introduction ... (previous) ... (next): $\S 4.2$: Integer-valued random variables: $(11)$
- 1998: David Nelson: The Penguin Dictionary of Mathematics (2nd ed.) ... (previous) ... (next): probability generating function
- 2008: David Nelson: The Penguin Dictionary of Mathematics (4th ed.) ... (previous) ... (next): probability generating function