(a) If Y ~ Poisson(A), write down the mgf of the random variable Y – A X = Y (b) Find the form of the mgf of X as A → 00.

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Chapter1: Combinatorial Analysis
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The mgf of the Poisson(A) distribution takes the form
m(t) = exp{A(e' – 1)} teR.
Also, if Y is a random variable with mgf my (t), and X = aY + b is a transformed version of Y,
then the mgf for X takes the form
mx(t) = ebmy (at).
Transcribed Image Text:The mgf of the Poisson(A) distribution takes the form m(t) = exp{A(e' – 1)} teR. Also, if Y is a random variable with mgf my (t), and X = aY + b is a transformed version of Y, then the mgf for X takes the form mx(t) = ebmy (at).
(a) If Y ~ Poisson(A), write down the mgf of the random variable
Y – A
X =
Y
%3D
(b) Find the form of the mgf of X as A → o.
Transcribed Image Text:(a) If Y ~ Poisson(A), write down the mgf of the random variable Y – A X = Y %3D (b) Find the form of the mgf of X as A → o.
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