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• ### Leth < ½ < Y, denote the order statistics of a random sample of size 3...

Leth < ½ < Y, denote the order statistics of a random sample of size 3 from a distribution with pdff(x) = 1,0 x < 1 zero elsewhere. Let Z Ling e the midrange of the sample an d R = Y 3-Y, be the range ofthe sample. (a) Find the joint pdf of (Z, R). (b) Find the probability that the range is less than 0.5 (c) Find the pdf of Z.

• ### 15. (30 points) Let Y1 < Y2 < Y3 < Y4 be the order statistics of a random sample of size n = 4 fr...

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

• ### 7.46. Let Yi < Y2 Y, be the order statistics of a random sample of size 3 from the distribution with p.d.f. zero...

7.46. Let Yi < Y2 Y, be the order statistics of a random sample of size 3 from the distribution with p.d.f. zero elsewhere. Find the Joint p.d.f. of Z.-,, Z,-, and Z,- YYY,. The corresponding transformation maps the space 12 Show that z, and z, are joint sufficient statistics for θ1 and θ2. 7.46. Let Yi

• ### Let X,X,, X, be a random sample of size 3 from a uniform distribution having pdf /(x:0) = θ,0 < x < 0,0 < θ, and let):く,), be the corresponding order statistics. a. Show that 2Y, is an unbi...

Let X,X,, X, be a random sample of size 3 from a uniform distribution having pdf /(x:0) = θ,0 < x < 0,0 < θ, and let):く,), be the corresponding order statistics. a. Show that 2Y, is an unbiased estimator of 0 and find its variance. b. Y is a sufficient statistic for 8. Determine the mean and variance of Y c. Determine the joint pdf of Y, and Y,, and use it to find the conditional expectation Find the...

• ### 4. Let Xi,X2, , Xn be n i.id. exponential random variables with parameter λ > Let...

4. Let Xi,X2, , Xn be n i.id. exponential random variables with parameter λ > Let X(i) < X(2) < < X(n) be their order statistics. Define Yǐ = nX(1) and Ya = (n +1 - k)(Xh) Xk-n) for 1 < k Sn. Find the joint probability density function of y, . . . , h. Are they independent? 15In

• ### 6.62. Let Yi < Y2 < . . . < Y, be the order statistics of...

6.62. Let Yi < Y2 < . . . < Y, be the order statistics of a random sample of size n from the distribution having p.df.f(x)-2x/g, 0<x <θ, zero elsewhere (a) If 0 < c < 1, show that Pr (c < Y,/θ < 1)-1-eM (b) If n=5 and if the observed value of Y, is 1.8, find a 99 percent confidence interval for 0.

• ### 2. Let Xi and X2 be two continuous random variables having the joint probability density 1X2...

2. Let Xi and X2 be two continuous random variables having the joint probability density 1X2 , for 0, elsewhere. If Y-X? and Y XX find a. the joint pdf of Yǐ and Y, g(n,n), b. the P(Y> Y), c, the marginal pdfs gi (m) and 92(h), d. the conditional pdf h(galn), and e, the E(YSM-m) and E(%)Yi = 1/2).

• ### Let Y1<Y2<...<Yn be the order statistics of a random sample of size n from the distribution...

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)

• ### 4. Let Yi, . .. ,y, denote a random sample from the pdf 0-1 0Ky1, elsewhere. y"(1- y)0-1 0, (a) Find the method of moments estimator of θ. (b) Find a sufficient statistics for θ 4. Let Yi, ....

4. Let Yi, . .. ,y, denote a random sample from the pdf 0-1 0Ky1, elsewhere. y"(1- y)0-1 0, (a) Find the method of moments estimator of θ. (b) Find a sufficient statistics for θ 4. Let Yi, . .. ,y, denote a random sample from the pdf 0-1 0Ky1, elsewhere. y"(1- y)0-1 0, (a) Find the method of moments estimator of θ. (b) Find a sufficient statistics for θ

• ### . Let Y1 < Y2 < · · · < Yn be the order statistics of...

. Let Y1 < Y2 < · · · < Yn be the order statistics of a random sample of size n from an exponential distribution with parameter θ = 1. (a) Find the pdf of Yr. (b) Find the pdf of U = e −Yr .