here as we know that mgf of poisson distribution: M(t)=
therefore mgf of X: Mx(t)=
mgf of Y: Mx(t)=
therefore mgf of Z =Mz(t)=MX+Y(t)=MX(t)*MY(t) =* =
for mgf of Z follows Poisson distribution mgf with parameter =15
hence distribution of Z is Poisson with parameter =15
5. Suppose X ~ Poisson(A = 5) and Y ~ Poisson(λ = 10), and they are...
Suppose XPoisson(5) and Y Poisson(10), and they are independent. Using the moment generating function method, find the distribution of Z XY.
Let X, Y and Z be three independent Poisson random variable with parameters λι, λ2, and λ3, respectively. For y 0,1,2,t, calculate P(Y yX+Y+Z-t) (Hint: Determine first the probability distribution of T -X +Y + Z using the moment generating function method. Moment generating function for Poisson random variable is given in earlier lecture notes) Let X, Y and Z be three independent Poisson random variable with parameters λι, λ2, and λ3, respectively. For y 0,1,2,t, calculate P(Y yX+Y+Z-t) (Hint:...
(a)Suppose X ∼ Poisson(λ) and Y ∼ Poisson(γ) are independent, prove that X + Y ∼ Poisson(λ + γ). (b)Let X1, . . . , Xn be an iid random sample from Poisson(λ), provide a sufficient statistic for λ and justify your answer. (c)Under the setting of part (b), show λb = 1 n Pn i=1 Xi is consistent estimator of λ. (d)Use the Central Limit Theorem to find an asymptotic normal distribution for λb defined in part (c), justify...
5. Suppose that Xn ~ Binomial(n,츰) for n 1.2, and X ~ Poisson(λ). Prove that Xn converges in distribution to X by using the moment generating functions for Xn and X
Suppose that X 1 has a Poisson distribution with mean 2, X 2has a Poisson distribution with mean 3 , X 3 has a Poisson distribution with mean 5 and that X 1 , X 2 and X 3 are independent. Define Y = X 1 + X 2 + X 3. Determine the moment-generating function for Y.
2. Consider the Poisson distribution, which has a pdf defined as: a) Derive the moment generating function. b) Use the moment generating function and the method of moments to find the mean and the variance. c) If X follows the Poisson distribution with Xx - 2.3, and Y follows a Poisson distribution with XY-54, what is the distribution of the sum X + Y, assuming that X and Y are independent?
I. Suppose that χ ~ Poisson (2) and y ~ Poisson (3) are independent random variables. (a) Find the probability generating function of χ + y. (b) Use part (a) to find P(χ + y = 13). 2. Suppose that χ ~ Poisson (2) and y ~ Geom(0.25) are independent random variables. (a) Find the probability generating function of . (b) Find the probability generating function of χ + y.
Let X be a Poisson random variable with mean λ(a) Evaluate E{X(X −1)} from first principles, and from this, the variance of X. (b) Confirm the variance using the moment generating function of X.
5 (10 points) X and Y are independent random variables with common moment generating function M(t) eT. Let W X + Y and Z X - Y. Determine the joint moment generating function, M(ti, t2) of W and Z Find the moment generating function of W and Z, respectively
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