Question: The moment generating function G(t) is defined by or where X is a discrete or continuous random variable, respectively. (a) Assuming that term wise differentiation

The moment generating function G(t) is defined by

Gω-EeΧ)-Σεfα)

or

G(t) = E(e*X) etaf(x) dx

where X is a discrete or continuous random variable, respectively.

(a) Assuming that term wise differentiation and differentiation under the integral sign are permissible, show that E(Xk) = G(k)(0), where G(k) = dkG/dtk, in particular, μ = G'(0).

(b) Prove (4).

(c) Show that the Poisson distribution has the moment generating function G(t) = e-μeμet and prove (6).

(d) 

G-Ee)-f) G(t) = E(e*X) etaf(x) dx

Using this, prove (9).

G-Ee)-f) G(t) = E(e*X) etaf(x) dx

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