et X1, X2, X3, . . . be a sequence of independent Poisson distributed random variables with parameter 1. For n ≥ 1 let Sn = X1 + · · · + Xn. (a) Show that GXi(s) = es−1. (b) Deduce from part (a) that GSn(s) = ens−n

Q: (6) Let X be a Poisson random variable with parameter 0, then E(X²) = 1. От OF

A: Poisson distribution is the type of discrete probability distribution. It explain the number of…

Q: S Suppose that the time (in hours) required to repair a machine is an exponentially distributed…

A: The distribution of the repairing time for the machine is specified to be distributed exponentially…

Q: Suppose the time it takes Alex to do this exam is exponentially distributed with parameter 3 per…

A: Introduction to Exponential distribution: A random variable X is said to have a exponential…

Q: Let X be a uniform random variable over the interval 1 to 4 and Y is exponential with a mean of 2.…

A: Given information: X~Uni(a=1,b=4) Standard deviation of X is: σX=b-a12       =4-112       =0.8660…

Q: 2. Let X be a random variable with the Poisson distribution, parameter 2. Show that, for w = 1, 2,…

A: X~Poisson(λ) Therefore P(X=x)=e-λλxx! ; x=0,1,2,……

Q: Let M and N be two independent events such that P(M) = 1/3 and P(N) = 1/4. Find P(M/N')

A:

Q: Suppose §1, $2, ... are iid random variables having mean u and variance o?. Form the random sum SN =…

A: Given that ξ1, ξ2, ..., ξn are iid random variables having mean μ and variance σ2.  SN=ξ1+ξ2+...+ξN

Q: Suppose that E and F are two events such that Pr[E] = 17/29, Pr[F] = 13/29, and Pr[EN F] = 8/29.…

A: Given, P(E) = 1729P(F) = 1329P(E∩F)=829

Q: (b) Determine e so that п п c£[(x; - X;)² i=l j=1 is an unbiased estimator of o². s2 ogunl to

A: 6. From the given information, X1,.....,Xn~f be an iid random sample with mean μ and variance σ2. a)…

Q: Suppose that Y₁ = 0.5, Y₂ = 0.6, Y3 = 0.2, Y4 = 0.7 and Y5 = 0.6, represents a random sample. Each…

A: Solution

Q: Page 327, 5.1.7.* Let X₁, ...,Xn be iid random variables with common pdf f(x) exp{-(x-20)}, x > 20,-…

A:

Q: Let Xi and Yi be random variables with Var(Xi) = σx2 and Var(Yi) = σy2 for all i ∈ {1, . . . , n}.…

A: It is given that: varxi=σx2varyi=σy2 and xi and yi are independent and corrxi,yi=ρ

Q: Suppose that the random variables X1,...,Xn form a random sample of size n from the uniform…

A: Let X1, X2,.......Xn be the random sample having Uniform distribution (0,1)Y1=min{X1,…

Q: Let X₁, Xn be a random sample from the beta distribution with a = B = 0 and = = {0: 0= 1,2}. Show…

A:

Q: 2. Let U1, U2,... be independent random variables, each with continuous distribution that is uniform…

A: The problem can be solved using the concept of expectation and moment generating function.

Q: Let {Xt; t = 0, 1, 2,...} be a birth and death process having birth rate Yn = 2(n + 1) and death…

A: i) To find the probability that the process is in state 0 in the steady state of the birth and death…

Q: 2. Let Y₁,..., Yp be independent random variables such that Y~ N(0, 1). Write Y = (Y₁...., Yp) and 0…

A: To show that an unbiased estimator of the risk of the James-Stein estimator iswe can use the…

Q: Let X₁, , Xn be a random sample from a large population following a uniform distribution over [0,…

A:

Q: 7. A discrete random variable X taking non-negative integer values has probability gen- erating…

A:

Q: Suppose the random variable, X, follows an exponential distribution with mean 8 (0 ≤ @<∞). Let X₁,…

A: Random variable X follows exponential distribution with mean Random variable X follows exponential…

Q: 2. If X is a random variable taking values 0,1,2,.... and P(X) = ab*, where a and b are positive…

A: i) First part:ii) second part:

Q: Suppose Y1,Y2,··· ,Yn are i.i.d. continuous uniform(0,1) distributed. (a) Prove that the kth-order…

A: Given that the iid continuous random variables Y1, Y2, . . ., Yn follow Uniform0,1 distribution.