6. Conditioning independent Poisson variables on their sum. Let N, be independent Poisson variables with parameters...
2. Let X1 and X2 be independent Poisson random variables with parameters λ1 and A2. Show that for every n 21, the conditional distribution of X1, given Xi X2n, is binomial, and find the parameters of this binomial distribution
Let Xi and X2 be independent Poisson random variables with means λ! and λ2. (a) Find the distribution of x, + x, (b) Compute the conditional distribution of Xi given that X + X.-n
3. (25 pts.) Let X1, X2, X3 be independent random variables such that Xi~ Poisson (A), i 1,2,3. Let N = X1 + X2+X3. (a) What is the distribution of N? (b) Find the conditional distribution of (X1, X2, X3) | N. (c) Now let N, X1, X2, X3, be random variables such that N~ Poisson(A), (X1, X2, X3) | N Trinomial(N; pi,p2.ps) where pi+p2+p3 = 1. Find the unconditional distribution of (X1, X2, X3).
3. (25 pts.) Let X1,...
Question 1: Conditional of Poisson random variabless is Multinomial Lct X1,.... X% be independent random variables and suppose that X, ~ Poisson(Ii). What is the conditional distribution of (Xi, . . . , Xk) given that Σ_1 X,-n?
Problem 4 Let X and y be independent Poisson(A) and Poisson(A2) random variables, respectively. i. Write an expression for the PMF of Z -X + Y. i.e.. pz[n] for all possible n. ii. Write an expression for the conditional PMF of X given that Z-n, i.e.. pxjz[kn for all possible k. Which random variable has the same PMF, i.e., is this PMF that of a Bernoulli, binomial, Poisson, geometric, or uniform random variable (which assumes all possible values with equal...
independence Ex: 46 Let X, Y be independent Poisson r.v. with parameters x,, ta respectively. Compute P (2X=k 1X+ = P({X= k} n{X+Y=n} PL&X=k} ^{ Y = n-k}) v 3 PL&X+Y= n3) Pl{X+Y=n}) (EV-n-ks) 1 to. Ank. Kle ni la ik' (n-kel! Continen) Gent This is Binth, t)! n - V tylne - (), the) HMW: By using the interpretation of Poisson & Binomial random variables, could we have guessed this result!
A amogos lf X and Y are independent exponential random variables with parameters 11 and 12 respectively, compute the distribution of Z = min(X,Y). What is the conditional distribution of Z given that Z = X?
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5. Let N be a Poisson random variable with parameter λ Suppose ξ1S2, is a sequence of 1.1.d. random variables with mean μ and variance σ2, independent of N. Let SN-ξι 5N. Determi ne the me an and variance of Sw. 6. Let X, Y be independent random variables, each having Exponential(A) distribution. What is the conditional density function of X given that Z =
Let X1, X2,..., X, be n independent random variables sharing the same probability distribution with mean y and variance o? (> 1). Then, as n tends to infinity the distribution of the following random variable X1 + X2 + ... + x, nu vno converges to Select one: A. an exponential distribution B. a normal distribution with parameters hi and o? C a normal distribution with parameters 0 and 1 D. a Poisson distribution
Let Xi Pn(2) and X2 Pn(5) be two independent random variables and it that y = Xi + X-Pn(7). is shown (a) Given Y-n, n 20, what are the possible values of X1? (b) Calculate the conditional distribution of Xi given Y-n for n 2 0.
Let Xi Pn(2) and X2 Pn(5) be two independent random variables and it that y = Xi + X-Pn(7). is shown (a) Given Y-n, n 20, what are the possible values of X1? (b)...