Comparing:
The binomial distribution tends toward the Poisson distribution as πββ, πβ0, and ππβconstantβπ.
The Poisson distribution with π=ππ closely approximates the binomial distribution if π is large and π is small.
Derive Poisson Formula From Binomial PMF
- π(π=π₯) = ππππββ [π choose π₯]ππ₯(1 - π)π-π₯
- π(π=π₯) = ππππββ [π!/(π₯!(π-π₯)!]ππ₯(1 - π)π-π₯Β # by binomial coefficient
- π(π=π₯) = ππππββ [π!/(π₯!(π-π₯)!](π/π)π₯(1 - (π/π))π-π₯ # π=π/π when πββ, πβ0
- π(π=π₯) = ππππββ [π!/(π₯!(π-π₯)!](π/π)π₯(1 - (π/π))π(1 - (π/π))-π₯ # by algebra
- π(π=π₯) = ππππββ [π!/(π₯!(π-π₯)!](π/π)π₯π-π(1 - (π/π))-π₯ # (1 - (π/π))π= π-π as πββ, see number e (Eulerβs number)
- π(π=π₯) = ππππββ [π!/(π₯!(π-π₯)!](π/π)π₯π-π(1 - (0))-π₯ # π/π= 0 as πββ
- π(π=π₯) = ππππββ [π!/(π₯!(π-π₯)!](ππ₯/ππ₯)π-π # by algebra
- π(π=π₯) = ππππββ [π!/(ππ₯(π-π₯)!](ππ₯/π₯!)π-π # by algebra
- π(π=π₯) = (ππ₯/π₯!)π-π # ππππββ [π!/(ππ₯(π-π₯)!] = 1
1.Click here to expand...
- ππππββ [π!/(ππ₯(π-π₯)!]
- ππππββ [π!/(π-π₯)!]*[1/ππ₯]
- ππππββ [(π-0)(π-1)(π-2)β¦(π-π₯+1)] / [ππ₯]
- 1