4.6 Let Z1, Z2, ..., Za be a random sample from a Poisson distribution with mean...
Exercise 8.43. Let Z1, Z2,... . Zn be independent normal random variables with mean 0 and variance 1. Let (a) Using that Y is the sum of independent random variables, compute both the mean and variance of Y. (b) Find the moment generating function of Y and use it to compute the mean and variance of Y.
Exercise 8.43. Let Z1, Z2,... . Zn be independent normal random variables with mean 0 and variance 1. Let (a) Using that Y...
Let Y1<Y2<...<Yn be the
order statistics of a random sample of size n from the distribution
having p.d.f f(x) = e-y , 0<y<, zero elsewhere. Answer the following
questions.
(a) decide whether Z1 = Y2
and Z2=Y4-Y2 are
stochastically independent or not. (hint. first find the joint
p.d.f. of Y2 and Y4)
(b) show that
Z1 = nY1, Z2=
(n-1)(Y2-Y1),
Z3=(n-2)(Y3-Y2), ....,
Zn=Yn-Yn-1
are stocahstically
independent and that each Zi has the exponential
distribution.(hint use change of variable technique)
Let X1...Xn be independent, identically distributed random sample from a poisson distribution with mean theta. a. Find the meximum liklihood estimator of theta, thetahat b. find the large sample distribution for (sqrt(n))*(thetahat-theta) c. Construct a large sample confidence interval for P(X=k; theta)
Suppose that Z1 and Z2 are uncorrelated random variables with zero mean and unit variance. Consider the process defined by Yt = Z1 cos(ωt) + Z2 sin(ωt) + et where et ∼ iid N(0,σ2 e) and {et} is independent of both Z1 and Z2. Prove that {Yt} is stationary.
| Assume that Z1 and Z2 are two independent random variables that follow the standard normal dist ribution N(0,1), so that each of them has the density 1 (z) ooz< oo. e '2т X2 X2+Y2 Let X 212,Y 2Z1 2Z2, S X2Y2, and R (a) Please find the joint density of (Z1, Z2). (b) From (a), please find the joint density of (X,Y) (c) From (b), please find the marginal densit ies of X and Y. (d) From (b) and...
Let Z1, Z2,.., Zn be independent Normal(0,1) random variables (a) Find the MGF for Z for all i (b) Find the MGF for (c) If n is even, find the PDF for Σ
and let X and S be sample mean be a random sample from N(u,0) 1. Let are independent, follow the and sample variance, respectively. In order to show that X and S steps below X x-x2 , and show the joint pdf of 1-1) Use the change of variable technique X,X,,X n is (n 1s 202 1 f(F,x,) = n exp 202 a27 [Hint 1] Use Jacobian for n x n variable transformation [Hint 2] 4AT-r- des dis Je ddi...
and let X and S be sample mean be a random sample from N(u,0) 1. Let are independent, follow the and sample variance, respectively. In order to show that X and S steps below X x-x2 , and show the joint pdf of 1-1) Use the change of variable technique X,X,,X n is (n 1s 202 1 f(F,x,) = n exp 202 a27 [Hint 1] Use Jacobian for n x n variable transformation [Hint 2] 4AT-r- des dis Je ddi...
2. Let Z1, Z2, Zn be independent Normal(0,1) random variables (a) Find the MGF for Z for all i (b) Find the MGF for Σ_1 Z (c) If n is even, find the PDF for ΣΙ_1 z?
4 points) Let Z1,Z2,...,Z1 be 11 independent N(O, 1) variables, and let Provide answers to the following to two decimal places Part a) Evaluate the moment generating function Mz2 (t) of Z2 at the point 0.23 Part b) Evaluate the moment generating function My(t) of Y at the point t = 0.31 . Part c) Find the mean of Y. Part d) Find the variance of Y.