2. Consider a random sample Xi,Xy otherwise. Xu frorn CDF F(x) 1-1/x for x e [1,00)...
2. Consider a random sample XI, X2 otherwise. Xn fronn CDF F(x) = 1-1/z for z e [ X) = 1-1/1 for x 1, oo) and zero (a) Find the limiting distribution of X1:n, the smallest order statistic. (b) Find the limiting distribution of X1: (c) Find the limiting distribution of n In X1m
Dr. Beldi Qiang STATWOB Flotllework #1 1. Let X.,No X~ be a i.İ.d sample form Exp(1), and Y-Σ-x. (a) Use CLT to get a large sample distribution of Y (b) For n 100, give an approximation for P(Y> 100) (c) Let X be the sample mean, then approximate P(.IX <1.2) for n 100. x, from CDF F(r)-1-1/z for 1 e li,00) and ,ero 2Consider a random sample Xi.x, 、 otherwise. (a) Find the limiting distribution of Xim the smallest order...
Consider a random sample X1,X2 ···Xn from CDF F(x) = 1 − 1/x for x ∈ [1,∞) and zero otherwise. Find the limiting distribution of n ln X1:n.
8. Consider a random sample of size n from a distribution with pdf f(x) = 0 else (a) Find the pdf of the smallest order statistic, X(i) b) Find E() and Var(X)) c) Find the pdf of the largest order statistic, X(n)
(b) For n = 100, give an approximaation for P(Y> 100) (c) Let X be the sample mean, then approximate P(1.1< 1.2) for -100. 2. Consider a random sample XX from CDF F(a) 1-1/ for z [1, 0o) and zero otherwise. (a) Find the limiting distribution of XiI.n, the smallest order statistic. (b) Find the limiting distribution of XI (c) Find the limiting distribution of n In X1:m- 3. Suppose that X,,, are iid. N(0,o2). Find a function of T(x)x...
2. Let Xi,... Xn be a random sample from the density f(x:0) 1o otherwise Suppose n = 2m+1 for some integer m. Let Y be the sample median and Z = (a) Apply the usual formula for the density of an order statistic to show the density max(X1) be the sample maximum. of Y is 0) 6 3) (b) Note that a beta random variable X has density re+ β22 a-1 (1-2)8-1 with mean μ α/G + β) and variance...
3. [6 pts] Let X1, . . . , Xn be a random sample frorn a distribution with variance σ2 < oo. Find cov(X, -X,x) for i = 1, ,n. 3. [6 pts] Let X1, . . . , Xn be a random sample frorn a distribution with variance σ2
be a random sample from the density 16 1. Let Xi, . f(x; β) otherwise 8(1-/4). You may suppose that E(X)(/ (a) Find a sufficient statistic Y for B and Var(X) C21 C2] 031 (b) Find the maximum likelihood estimator B of B and show that it is a function (c) Determine the Rao-Cramér lower bound (RCLB) for the variance of unbiased (d) Use the following data and maximum likelihood estimator to give an approxi- 2.66, 2.02, 2.02, 0.76, 1.70,...
3x2 for 0 < x < θ and zero otherwise. With the parameter θ > 0. We wish to Consider the pdf,f(x) estimate θ using the sample maximum from a random sample (iid) of size n. 0n-maxi Xi. (hint: first find the CDF and PDF of the estimator) Show this estimator is consistent a. b. Show this estimator is biased C. Suggest a better estimator and show that it is UC d. Show that n(9-an) converges (using the original estimator,...
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