Question #287978

For a poisson random variable x having probably generating fuction G(t)= exp^?(t-1) . Show that the expected value E(x) and variance (x) are given by ?and ? Respectively



1
Expert's answer
2022-01-17T16:42:42-0500

Given that,

G(t)=eλ(t1)G(t)=e^{\lambda(t-1)}

We want to show that var(x)=E(x)=λvar(x)=E(x)=\lambda

Now,

E(x)=G(t=1)E(x)=G'(t=1)

First,

G(t)=λeλ(t1)G'(t)=\lambda e^{\lambda(t-1)}

Setting t=1t=1 in G(t)G'(t),

G(t=1)=λeλ×0=λ×1=λG'(t=1)=\lambda e^{\lambda\times0}=\lambda\times1=\lambda

Therefore, E(x)=λE(x)=\lambda

To find var(x)var(x), we first determine G(t)=E(x2)E(x)G''(t)=E(x^2)-E(x)

Now,

G(t)=λ2eλ(t1)G''(t)=\lambda^2e^{\lambda(t-1)}

Setting t=1t=1 in G(t)G''(t) we get,

G(t=1)=λ2e0=λ2×1=λ2G''(t=1)=\lambda^2e^{0}=\lambda^2\times1=\lambda^2

We determine the value of E(x2)E(x^2) as follows.

G(t)=E(x2)E(x)    E(x2)=G(t)+E(x)=λ2+λG''(t)=E(x^2)-E(x)\implies E(x^2)=G''(t)+E(x)=\lambda^2+\lambda

So,

E(x2)=λ2+λE(x^2)=\lambda^2+\lambda

Thus,

var(x)=E(x2)(E(X))2var(x)=(λ2+λ)λ2=λvar(x)=E(x^2)-(E(X))^2\\ var(x)=(\lambda^2+\lambda)-\lambda^2=\lambda

Therefore, E(x)=var(x)=λE(x)=var(x)=\lambda.


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