Question #287284

For the a Poisson random variable x generating function G(t)= exp^lambda(t-1) show that the expected value E(x) and variance (x) are given by lambda and lambda respectively.


1
Expert's answer
2022-01-14T09:44:59-0500

G(t)=eλ(et1)G(t)=e^{\lambda(e^t-1)}

E(x)=G(0)E(x)=G'(0)

G(t)=λeteλ(et1)=λeλt(et1)G'(t)=\lambda e^te^{\lambda(e^t-1)}=\lambda e^{\lambda t(e^t-1)}

G(0)==λeλ0(et1)=λG'(0)==\lambda e^{\lambda 0(e^t-1)}=\lambda


var(x)=E(x2)[E(x)]2var(x)=E(x^2)-[E(x)]^2

E(X2)=G(0)E(X^2)=G''(0)

G(t)=λeλet+tλ(λet+1)G''(t)=\lambda e^{\lambda e^t+t-\lambda}(\lambda e^t+1)

G(0)=λeλe0+0λ(λe0+1)=λ(λ+1)=λ2+λG''(0)=\lambda e^{\lambda e^0+0-\lambda}(\lambda e^0+1)=\lambda(\lambda+1)=\lambda^2+\lambda

From the first part, E(x)=λE(x)=\lambda . Thus;

var(x)=E(x2)[E(x)]2=λ2+λλ2=λvar(x)=E(x^2)-[E(x)]^2=\lambda^2+\lambda-\lambda^2=\lambda


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