
![- e n=3 (6) The pidef of Yn = X(m) is given as, fXm) (u) = n [F(x)]97 fru) je PX13) (+) = 13/1-2x)? 2* [Here n=3] Y3= X(3), T](http://img.homeworklib.com/questions/d321df90-5f38-11eb-a289-c3428b76d4ac.png?x-oss-process=image/resize,w_560)
3. Consider a random sample of size 3 from an exponential distribution, X-Exp(1), i = 1,2,3....
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)
15. (30 points) Let Y1 < Y2 < Y3 < Y4 be the order statistics of a random sample of size n = 4 from a distribution with p.d.f.f(x) 2x, 0 < x < 1, zero elsewhere. Evaluate E[Yalyj]. [Hint: First find the joint p.d.f. of Y3 and Y4, and then find the conditional p.d.f. of Y4 given Y3 y3]
15. (30 points) Let Y1
1. Suppose X1, ..., Xn be a random sample from Exp(1) and Y1 < ... < Yn be the order statistics from this sample. a) Find the joint pdf of (Y1, .. , Yn). b) Find the joint pdf of (W1, .. , Wn) where W1 = nY1, W2 = (n-1)(Y2 -Y1), W3 = (n - 2)(Y3 - Y2),..., Wn-1 = 2(Yn-1 - Yn-2), Wn = Yn - Yn-1. (c) Show that Wi's are independent and its distribution is identically...
2. [x] Suppose that Y1, Y2, Y3 denote a random sample from an exponential distribution whose pdf and cdf are given by f(y) = (1/0)e¬y/® and F(y) =1 – e-y/0, 0 > 0. It is also known that E[Y;] = 0. ', y > 0, respectively, with some unknown (a) Let X = min{Y1,Y2, Y3}. Show that X has pdf given by f(æ) = (3/0)e-3y/º. Start by thinking about 1- F(x) = Pr(min{Y1,Y2, Y3} > x) = Pr(Y1 > x,...
Consider a random sample of size n from a two-parameter exponential distribution, Xi ~ EXP(\theta ,\eta). Recall from Exercise12 that X1:n and \bar{X} are jointly sufficient for \theta and \eta . (Exercise12: Let X1, . . . , Xn be a random sample from a two-parameter exponential distribution, Xi ~ EXP(\theta ,\eta). Show that X1:n and \bar{X} are jointlly sufficient for \theta and \eta .) Because X1:n is complete and sufficient for \eta for each fixed value of \theta ,...
Let Y1, Y2, …, Y4 be a random sample from a normal distribution with mean 10 years and standard deviation 2.5 years. Find the following probabilities. A. P(Y4 > 14 years) B. P(Y1 + Y2 + Y3 + Y4 < 36 years) C. P{(Y1 < 9 years) and (Y2 < 9 years) and (Y3 < 9 years) and (Y4 < 9 years)} Note: B and C are asking different questions. D. Find E(Y1 +...
Consider a random sample of size n from a two-parameter exponential dist EXP(e, n). Recall from Exercise 12 that X 1 ., and X are jointly sufficient for O Because Xi:n is complete and sufficient for η for each fixed value of θ, argue from 104.7 that X, and T X1:n X are stochastically independent. ibution, X, 30. Theor (a) Find the MLE θ of θ. (b) Find the UMVUE of η. (c) Show that the conditional pdf of Xi:n...
Question 3 [25] , Yn denote a random sample of size n from a Let Y, Y2, population with an exponential distribution whose density is given by y > 0 if o, otherwise -E70 cumulative distribution function f(y) L ..,Y} denotes the smallest order statistics, show that Y1) = min{Y1, =nYa) 3.1 show that = nY1) is an unbiased estimator for 0. /12/ /13/ 3.2 find the mean square error for MSE(e). 2 f-llays Iat-k)-at 1-P Question 4[25] 4.1 Distinguish...
Q6: Let X1, ..., Xn be a random sample of size n from an exponential distribution, Xi ~ EXP(1,n). A test of Ho : n = no versus Hain > no is desired, based on X1:n. (a) Find a critical region of size a of the form {X1:n > c}. (b) Derive the power function for the test of (a).
8. Let X1,...,Xn denote a random sample of size n from an exponential distribution with density function given by, 1 -x/0 -e fx(x) MSE(1). Hint: What is the (a) Show that distribution of Y/1)? nY1 is an unbiased estimator for 0 and find (b) Show that 02 = Yn is an unbiased estimator for 0 and find MSE(O2). (c) Find the efficiency of 01 relative to 02. Which estimate is "better" (i.e. more efficient)?
8. Let X1,...,Xn denote a random...