Let X and Y be two independent random variables with X ~ Poisson(ux) and Y ~ Poisson(uy). (a) Show that the moment generating function (mgf) of X is Mx(t) = exp{µx(e' – 1)} = etx(et –1). (b) Show that the mgf of X +Y is Mx+y(t) = exp{(µx+µy)(e' – 1)} %3D (c) Based on the result in (b), what distribution does X + Y follow?

MATLAB: An Introduction with Applications
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Chapter1: Starting With Matlab
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Poisson(ux) and Y ~
Let X and Y be two independent random variables with X ~
Poisson(uy).
(a) Show that the moment generating function (mgf) of X is Mx (t) = exp{ux(et – 1)} =
eHx(e' –1).
(b) Show that the mgf of X + Y is Mx+y(t) = exp{(µx + µy)(e² – 1)}
(c) Based on the result in (b), what distribution does X +Y follow?
(d) Use the mgf you found in (a) to show that E(X²) = µ3 + µx.
(e) Compute Var(X±Y).
(f) Compute Cov(X,2X + Y).
(g) We would like to find the conditional distribution of X given X+Y=3. To do that, find
P(X
What is the conditional distribution? Be sure to provide all the information, including
its support.
x|X + Y = 3). You may express the result as a function of x, µx, and µy.
Transcribed Image Text:Poisson(ux) and Y ~ Let X and Y be two independent random variables with X ~ Poisson(uy). (a) Show that the moment generating function (mgf) of X is Mx (t) = exp{ux(et – 1)} = eHx(e' –1). (b) Show that the mgf of X + Y is Mx+y(t) = exp{(µx + µy)(e² – 1)} (c) Based on the result in (b), what distribution does X +Y follow? (d) Use the mgf you found in (a) to show that E(X²) = µ3 + µx. (e) Compute Var(X±Y). (f) Compute Cov(X,2X + Y). (g) We would like to find the conditional distribution of X given X+Y=3. To do that, find P(X What is the conditional distribution? Be sure to provide all the information, including its support. x|X + Y = 3). You may express the result as a function of x, µx, and µy.
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