25 Let X1, X, be a random sample from f(x; 6) =f(x; M, O) = 44.02(x)....
25 Let X1, X, be a random sample from f(x; 6) =f(x; M, O) = 44.02(x). Define (0) by Moon 04.62 (x) dx = a(a is fixed). Recall what the UMVUE of 7(0) is. Find a 100 percent confidence interval for (O). (If you cannot find an exact 1007 per- cent confidence interval, find an approximate one).
[4] (15 pts) Let X1, ... , Xn (n > 2) be a random sample from a Poisson distribution with unknown mean 8 >0. Find the UMVUE of n = P(X1 > 1) = 1 - - (5) (30 pts ; 15 pts each) (a) Let X1,.,X, be a random sample from a Pareto distribution, Pareto(a,1), with pdf f(x; a) = 0x ax-(+1)I(1,00)() where a > 0 is unknown. Find the UMVUE of n = P. (X1 > c) =...
Problem 4. (25) Let X1, X2, X, be a random sample with densities given by the p.d.f. f(0;0) = e-(2-) for 2 > 6 and zero otherwise, where - <o<0. Let Ybe the first order statistic from this random sample. (a) Prove that Y, is sufficient for 6. (b) Prove Y1 is complete. (c) Determine the UMVUE for T(0) = 0.
Let X1,... , Xn be a random sample from a population with pdf 3x2/03,E(0, 0), f(x|0) = otherwise 0, where 0 >0 is unknown (a) Find a 1-a confidence interval for 0 by pivoting the cdf of X(n) = max{X1, ... , Xn}. (b) Show that the confidence interval in (a) can also be obtained using a pivotal quantity Let X1,... , Xn be a random sample from a population with pdf 3x2/03,E(0, 0), f(x|0) = otherwise 0, where 0...
Let X1,... , Xn be a random sample from a population with pdf 3x2/03,E(0, 0), f(x|0) = otherwise 0, where 0 >0 is unknown (a) Find a 1-a confidence interval for 0 by pivoting the cdf of X(n) = max{X1, ... , Xn}. (b) Show that the confidence interval in (a) can also be obtained using a pivotal quantity Let X1,... , Xn be a random sample from a population with pdf 3x2/03,E(0, 0), f(x|0) = otherwise 0, where 0...
Let X1,... , Xn be a random sample from the Pareto distribution with pdf { f (r0)= 0, where 0>0 is unknown (a) Find a uniformly most powerful (UMP) test of size a for testing Ho 0< 0 versus where 0o>0 is a fixed real number. (Use quantiles of chi-square distributions to express the test) (b) Find a confidence interval for 0 with confidence coefficient 1-a by pivoting a ran- dom variable based on T = log Xi. (Use quantiles...
Let X1,... , Xn be a random sample from the Pareto distribution with pdf Ox (0+1), x > 1, f(z0) where 0>0 is unknown (a) Find a confidence interval for 0 with confidence coefficient 1-a by pivoting a ran- dom variable based on T = T log Xi. (Use quantiles of chi-square distributions to express the confidence interval and use equal-tail confidence interval (b) Find a confidence interval for 0 with confidence coefficient 1 - a by pivoting the cdf...
Let X1, ..., X50 denote a random sample of size 50 from the geometric distribution f(x; θ) = θ(1 − θ) x−1 for x = 1, 2, ... and 0 < θ < 1. Suppose that after taking the observations we find that ¯x = 5. 8. a) Find the maximum likelihood estimator ˆθ of θ. b) Find E[X¯] and var(X¯). c) Use part (b) above together with the CLT and delta method to find the limiting distribution of √...
X denote the mean of a random sample of size 25 from a gamma type distribu- tion with a = 4 and β > 0. Use the Central Limit theorem to find an approximate 0.954 confidence interval for μ, the mean of the gallina distribution. Hint: Use the random variable (X-43)/?7,/432/25. 6. Let Yi < ½ < < }, denote the order statistics of a randon sample of size n from a distribution that has pdf f(z) = 4r3/04, O...
$ 200, if x > 10 else 3) Let X1, X2,..., X, bei.i.d. random variables from a population with f(x;0) = 0 > 0 being unknown parameter. a) Sketch a graph of a density from this family for a fixed 0. b) Find the cumulative distribution function F(x;0) of X1. c) Show that X (1) is a minimal sufficient statistic for e. 2n02n o d) Show that the density of X(1) is given by fx y2n +T, if y (y;0)...