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2 answers

The expectation is


Σ [k λ^k e^(-λ)]/k!
k=0

Note that the k=0 term is zero, so we can drop it and write the expectation as


Σ [k λ^k e^(-λ)]/k!
k=1

or after simplifying


Σ [λ^k e^(-λ)]/(k-1)!
k=1

Now, replace k by j+1 in this sum:


Σ [λ^(j+1) e^(-λ)]/(j+1-1)! or after simplifying,
j+1=1


Σ [λ^(j+1) e^(-λ)]/ j!
j=0

Factor out a λ:


Σ [λ^j e^(-λ)]/ j! * λ
j=0

Note that the term in the sum is just p_X(λ), so the sum equals 1. Therefore, the expectation of the Poisson distribution is its parameter λ.

2007-12-07 03:38:36 · answer #1 · answered by Ron W 7 · 1 0

That dosen't really make any sense, well at least, not to me. :\

2007-12-07 06:50:16 · answer #2 · answered by Anonymous · 0 1

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