Find the form 1 - alpha CI for theta based on a random sample (Xn...) for the exponential distribution.
Find the form 1 - alpha CI for theta based on a random sample (Xn...) for...
suppose X1 -> Xn is a random sample from a uniform distribution on the interval [0,theta]. let X1 = min {X1,X2,...Xn} and let Yn= nX1. show that Yn converges in distribution to an exponential random variable with mean theta.
1. Let x1, ..., xn be a random sample from the exponential distribution f(x) = (1 / theta)e^(-x / theta) for x > 0. (a) Find the mle of theta ## can use R code (b) Find the Fisher information I(theta) ## can use R code
Let X1.. Xn be a random sample from Uniform (theta, 2theta), where theta is psitive. Find the MLE for theta
Let X1...Xn be independent, identically distributed random sample from a poisson distribution with mean theta. a. Find the meximum liklihood estimator of theta, thetahat b. find the large sample distribution for (sqrt(n))*(thetahat-theta) c. Construct a large sample confidence interval for P(X=k; theta)
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 ,...
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).
4. Let X1, X2, ..., Xn be a random sample from an Exponential(1) distribution. (a) Find the pdf of the kth order statistic, Y = X(k). (b) Determine the distribution of U = e-Y.
assume that the random variables X1, · · · , Xn form a random sample of size n form the distribution specified in that exercise, and show that the statistic T specified in the exercise is a sufficient statistic for the parameter A uniform distribution on the interval [a, b], where the value of a is known and the value of b is unknown (b > a); T = max(X1, · · · , Xn).
Let X1, X2, ... , Xn be a random sample of size n from the exponential distribution whose pdf is f(x; θ) = (1/θ)e^(−x/θ) , 0 < x < ∞, 0 <θ< ∞. Find the MVUE for θ. Let X1, X2, ... , Xn be a random sample of size n from the exponential distribution whose pdf is f(x; θ) = θe^(−θx) , 0 < x < ∞, 0 <θ< ∞. Find the MVUE for θ.
Suppose X1, X2, · · · , Xn form a random sample from a distribution with p.d.f. f(x;?)=(1+?)x?, 0<x<1, ?>0. a. Find the MLE of ?. b. Show that the MLE is sufficient for ?.