Let Xn = a sin(bn+Z), where n ∈ Z, a, b ∈ [0, ∞) are constant, and Z has a continuous uniform distribution on [−π, π] (i.e. Z ∼ U([−π, π])). Show that Xn is stationary. (Hint: sin(x) sin(y) = 1 2 (cos(x − y) − cos(x + y)) may be helpful).
![l. Let Xn-a sin(bn+ Z), where n є z, a, b є lo,00) are constant, and Z has a continuous uniform distribution on [-π, π] (i.e.](http://img.homeworklib.com/images/f15e861f-c465-45e3-85c5-83e15c3185d4.png?x-oss-process=image/resize,w_560)



Let Xn = a sin(bn+Z), where n ∈ Z, a, b ∈ [0, ∞) are constant, and Z has a continuous uniform distribution on [−π, π] (i...
4. Let Xn ~ N(1/n, 1). Show that Xn + Z in distribution, where Z is the standard normal.
Let X1, ..., Xn be a sample from a U(0, θ) distribution where θ > 0 is a constant parameter. a) Density function of X(n) , the largest order statistic of X1,..., Xn. b) Mean and variance of X(n) . c) show Yn = sqrt(n)*(θ − X(n) ) converges to 0, in prob. d) What is the distribution of n(θ − X(n)).
Let F be a continuous distribution function and let U be a uniform (0, 1) random variable (a) If X F-(U), show that X has distribution function F. Show that -log(U) is an exponential random variable with mean 1.
3. (5 marks) Let U be a random variable which has the continuous uniform distribution on the interval I-1, 1]. Recall that this means the density function fu satisfies for(z-a: a.crwise. 1 u(z), -1ss1, a) Find thc cxpccted valuc and the variancc of U. We now consider estimators for the expected value of U which use a sample of size 2 Let Xi and X2 be independent random variables with the same distribution as U. Let X = (X1 +...
7.6.4. Let X1, X2,... , Xn be a random sample from a uniform (0,) distribution. Continuing with Example 7.6.2, find the MVUEs for the following functions of (a) g(0)-?2, i.e., the variance of the distribution (b) g(0)- , i.e., the pdf of the distribution C) or t real, g(9)- , î.?., the mgf of the distribution. Example 7.6.2. Suppose X1, X2,... , Xn are iid random variables with the com- mon uniform (0,0) distribution. Let Yn - max{X1, X2,... ,...
6. Let X1,..., Xn be a random sample from Uniform (0, 1). a) Find the exact distribution of U = – log(X(1)) where X(1) = min(X1, X2,..., Xn). b) Find the limiting distribution of n(1 – X(n)), where X(n) = max(X1, X2, ..., Xn).
Let {Xn} be a sequence of RVs with Xn~G(n,β), where β>0 is a constant (independent of n). Find the limiting distribution of Xn/n.
4. Suppose that Z є R2p has a MVN distribution Nop( 12. E.). Partition Z as Z where X є Rp and Y є Rp. Denote the means of X and Y as μι and μy, respectively. Let μΔ-Ha-ty. Suppose that we obtain IID data Z1, ,Zn from the underlying distribution of Z. Let a (0,1) be a constant (a) Describe how to construct a (1-a)-level convex confidence region (CR) for μΔ when y, is known. Explain. (b) Describe how...
4. Suppose that Z є R2p has a MVN distribution M2p(Hs, z). Partition Z as Z- where X є Rp and Y є Rp. Denote the means of X and Y as μζ and Ily, respectively. Let μΔ As-ty. Suppose that we obtain IID data Z1, ,Zn from the underlying distribution of Z. Let a E (0,1) be a constant. (c) Describe how to construct a simultaneous confidence interval for νΤμΔ for all non- zero v є Rp when 31,...
1. Let Xi,X2,.... Xn be an id sample from a Uniform(0,6) distribution. Let X(n) be the maximum order statistic, and let UX()/e. a) Find the CDF of U b) Is U a pivotal quantity? why or why not? c) Use U to construct a 95% CI for