MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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- Suppose that X ~ Gamma(3, b), with pdf -br f(r\b) = 2 on a > 0, where b> 0. It is required to test the null hypothesis Họ : b= bo against the alternative hypothesis H1 : b = b1, based on a random sample #1,x2,..., Tn. (a) Find the log-likelihood l(b). (b) Let LR be the likelihood ratio L(b1)/L(bo). Show that the log of the likelihood ratio is log(LR) = 3n log bo (2) - (b1 – bo) ri- i=1 (c) Using the expression for log(LR) that you obtained in part (b), show that the rejection region R= {x : log(LR) > d} for the test is of the form T bo. Hence give c' in terms of d.arrow_forward34. Consider the continuous random variable X whose pdf is given by f(r) = (a-r³)Io<<1(1). (a) Find the value of a that makes f(z) a pdf. (b) Find E(X). (c) Find V(X). (d) Find P(X ≤).arrow_forwardSuppose Xn is the sample mean of a random sample of size n from a distribution that has a Gamma(2,1/2) (where a = 2, B = }) pdf f(x) = 4xe-2a, 0 < x < ∞, zero elsewhere. Use the Central Limit Theorem to deduce that the random variables Vn(Xn – 1) converges in distribution to N(0, 1/2).arrow_forward
- Let X ~ F(a, ß). If E(X)= % and E(X²)= a+a² If â = nX? find the method of (n-1)s² | .3 moments estimator ofarrow_forward4. Assume that X is an exponential random variable. Suppose further that Var(X) = 5. E(X). (a) Find the parameter 0> 0. (b) Compute Var(X + 4). (c) Compute P(X > 15[X > 11).arrow_forward
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