Solution:-
Its Exponential Distribution and the random variable is iid.
Suppose tht,
W want to test the
Verses
and Likelyhood Function is,
Threfore Likehood ratio is,
Since,
Rejction rgion is,
,(Fixd constant).
Therefore MP-test for testing Hypothesis,
Reject if .
iid 4. Let X1, ...,Xn Exp(a), the exponential distribution with failure rate 2. Show that the...
iid 20. Let X1, ...,Xn - Exp(a), the exponential distribution with failure rate 2. We showed in Sections 7.2 and 7.3 that â= 1/X is both the MME and the MLE of 2, and that its asymp- totic distribution is given by vn (Å - 1) PW~N (0,22) (8.53) Use the normal distribution in (8.53) to obtain, via a variance stabilizing transformation, an approximate 100(1 – a)% confidence interval for a.
Let X1, . . . , Xn ∼ iid Exp(λ) and Y1, . . . , Ym ∼ iid Exp(τ ) be independent random samples. (a) Find the restricted MLEs under the null hypothesis H0 : λ = τ . (b) Write out a formula for the LRT statistic, and describe how you could perform this test asymptotically.
2. Let X1, , Xn be iid exponential(9) random variables. Derive the LRT of Ho : ? = ?? versus Ha : ????. Determine an approximate critical value for a size-a test using the large sample approximation.
5. For X follows Exp(6) (exponential distribution with parameter θ), a hypothesis test rejects the null hypothesis Ho : θ-1 when X k versus H1 : θ > 1. (a) Show that for any k greater than -log(0.05), the test has the probability of type I error less than 0.05 (b) Show that the power of the test at θ-10 is larger when k-1 than k-2. (c) Let k-_ log(0.05), calculate the power function in terms of θ when θ...
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).
3. Let X1, ..., Xn, ... be iid random variables from the shifted exponential distribution: Se-(2-0) f( x0) = л VI (a) Find the MLE for 0. (b) Find the MLE for ø= EX. (c) Find the MOM estimator for 0.
Exercise 4.8: Suppose that X1, X2,..., Xn is a random sample of observations on a r.v. X, which takes values only in the range (0, 1). Under the null hypothesis Ho, the distribution of X is uniform on (0, 1), whereas under an alternative hypothesis, њ, the distribution is the truncated exponential with p.d.f. 0e8 where 6 is unknown. Show that there is a UMP test of Ho vs Hi and find, roximately, the critical region for such a test...
- Let X1, X2, ..., Xn be iid from the pdf fe(x) = 0e-82, > 0. Note that T = 2 , X, is a sufficient statistic. Consider testing the hypothesis H.: 8 = 1 vs H: 8 = 2 using Bayes method. Suppose the prior distribution is P(0 = 1) = ? and P(0 = 2) = 1 - . (a) Show that the Bayes test rejects H, if T < In log(2) + log((1 - ))) (b) Take...
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.
Let Xi....,Xn,..., ~iid Exp(1) and let Yn) be the sample maximum of the first n observations. Show that the limiting distribution of Zn-(Y(n)-log n) has CDF F(z) exp{-e-*), z є R.