Let X1,... , Xn be a random sample from the Pareto distribution with pdf Ox (0+1), x > 1, f(z0) where 0>0 is unkn...
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...
6. L , Xn be a random sample from a population with pdf et X1,. . . 9x1, xe (0,1), 0, otherwise, where θ E Θ (0.00) (a) Find a confidence interval for θ with confidence coefficient 1-α by pivoting a random variable based on statistic T(X,)--Σ-1 log Xi. (Use quantiles of chi-square distributions to express the confidence interval and use equal-tail confidence interval) (b) Find the shortest I-α confidence interval for θ of the form a/T, b/T, where T(X,)...
6. L , Xn be a random sample from a population with pdf et X1,. . . 9x1, xe (0,1), 0, otherwise, where θ E Θ (0.00) (a) Find a confidence interval for θ with confidence coefficient 1-α by pivoting a random variable based on statistic T(X,)--Σ-1 log Xi. (Use quantiles of chi-square distributions to express the confidence interval and use equal-tail confidence interval) (b) Find the shortest I-α confidence interval for θ of the form a/T, b/T, where T(X,)...
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...
Advanced Mathematical Statistics. I only require (a) to be done here. I'll post the others in a different question. Let X1,... , Xn be a random sample from a population with pdf Өло-1, те (0, 1), f (x0) otherwise 0, where 0 € Ө 3 (0, ою). (a) Find a confidence interval for 0 with confidence coefficient 1 - a by pivoting - log Xi. (Use quantiles a random variable based on statistic T(Xn) of chi-square distributions to express the...
Advanced Mathematical Statistics. I only require (c) to be done here. I have posted the others in a different question. Let X1,... , Xn be a random sample from a population with pdf Өло-1, те (0, 1), f (x0) otherwise 0, where 0 € Ө 3 (0, ою). (a) Find a confidence interval for 0 with confidence coefficient 1 - a by pivoting - log Xi. (Use quantiles a random variable based on statistic T(Xn) of chi-square distributions to express...
Advanced Mathematical Statistics. I only require (c) to be done here. I have posted (a) and (b) in another question. Let X1,... , Xn be a random sample from a population with pdf Өло-1, те (0, 1), f (x0) otherwise 0, where 0 € Ө 3 (0, ою). (a) Find a confidence interval for 0 with confidence coefficient 1 - a by pivoting - log Xi. (Use quantiles a random variable based on statistic T(Xn) of chi-square distributions to express...
Let X1 Xn be a random sample from a distribution with the pdf f(x(9) = θ(1 +0)-r(0-1) (1-2), 0 < x < 1, θ > 0. the estimator T-4 is a method of moments estimator for θ. It can be shown that the asymptotic distribution of T is Normal with ETT θ and Var(T) 0042)2 Apply the integral transform method (provide an equation that should be solved to obtain random observations from the distribution) to generate a sam ple of...
Let X1, X2,..., Xn be a r.s. from f(x) = 0x0-1, for 0 < x <1,0 < a < 0o. (a) Find the MLE of 0. (b) Let T = -log X. Find the pdf of T. (c) Find the pdf of Y = DIT: (i.e., distribution of Y = - , log Xi). (d) Find E(). (e) Find E( ). (f) Show that the variance of 0 MLE → as n → 00. (g) Find the MME of 0.