



![L F 현 그드의 Co then Fla) = f fins de 이 + / 0 flaram 글 + [ 2 - ] 1 22 + (4-2)-(2-) = , Henee CDF is F(x) = - xo 0 2041 2 ~ + 224](http://img.homeworklib.com/questions/2bddcad0-e00a-11ea-a691-3113884d074c.png?x-oss-process=image/resize,w_560)
![De dhe mean ,u = fäfen dhe Sanda + ļ n (2-2 [*] + [2] Ź (217-( - ) = * + 3-(3-3) 3 + {- + Ź 3+ 2-8 3 3+ -6 3 1 3-2 1, So, mea](http://img.homeworklib.com/questions/2c7422e0-e00a-11ea-8999-c397ac0d0d44.png?x-oss-process=image/resize,w_560)
СТ 5. The triangular distribution has pdf 0<<1 f(x) = (2-2) 1<x<2. It is the sum...
3. X is a continuous RV with pdf f(x) and CDF F(x). a) Derive the dist of Y=F(X) b) Show that Z=-21n(Y) has a Gamma dist. & derive it. 4. X-i ~ cont with pdf fi(x) and CDF Fi(x), i=1, 2, , k. all independent. Define YjaFi(Xi), i=1, , k. Derive the distribution of
3. X is a continuous RV with pdf f(x) and CDF F(x). a) Derive the dist of Y=F(X) b) Show that Z=-21n(Y) has a Gamma dist....
2. X has pdf fx (+) = 3x I(0 <r <1) and Y has conditional distribution, given X = r, of Uniform(-1,2). a) Obtain the pdf of X, Y. Sketch the support of this pdf. b) Obtain E(Y|X) and E(YPX). Also obtain E(XY|X) by using an appropriate property of conditional expectation and one of the previous two calculations c) Find Cov(X,Y), that is the covariance of X with Y. Are X and Y independent? Justify your answer. The next page...
1. Let X be a random variable with pdf f(x )-, 0 < x < 2- a) Find the cdf F(x) b) Find the mean ofX.v c) Find the variance of X. d) Find F (1.75) e) Find PG < x < +' f) Find P(X> 1). g) Find the 40th percentile.*
1. Let Xi...., X, be a random sample from a distribution with pdf f(x;0) = 030-11(0 < x < 1), where 0 > 0. Find the maximum likelihood estimator of u = 8/1 b) Find a sufficient statistic and check completeness. (c) Find the UMVUE(uniformly minimum variance unbiased estimator of each of the following : 0,1/0,4 = 0/(1+0).
1. Let Xi...., X, be a random sample from a distribution with pdf f(x;0) = 030-11(0 < x < 1), where 0 > 0. Find the maximum likelihood estimator of u = 8/1 b) Find a sufficient statistic and check completeness. (c) Find the UMVUE(uniformly minimum variance unbiased estimator of each of the following : 0,1/0,4 = 0/(1+0).
19. A random variable X has the pdf f(x) = 2/3 0 otherwise if 1 < x 2 (a) Find the median of X. (b) Sketch the graph of the CDF and show the position of the median on the graph.
2. Suppose X is a continuous random variable with the probability density function (i.e., pdf) given by f(x) - 3x2; 0< x < 1, - 0; otherwise Find the cumulative distribution function (i.e., cdf) of Y = X3 first and then use it to find the pdf of Y, E(Y) and V(Y)
Let X be a random variable with pdf S 4x3 0 < x <1 Let Y 0 otherwise f(x) = {41 = = (x + 1)2 (a) Find the CDF of X (b) Find the pdf of Y.
The pdf of X is f(x) = c/x?, 1<x< 0. (a) Calculate the value of c so that f(x) is a pdf. (b) Show that the mean of X does not exist. (c) Interpret the result in (b).
(5 pts) Let U be a random variable following a uniform distribution on the interval [0, 1]. Let X=2U + 1 Calculate analytically the variance of X. (HINT : Elg(z)- g(z)f(x)dr, and the pdf. 0 < z < 1 0 o.t.w. f(x) of a uniform distribution is f(x) =