4. Probability maximization: We have independent random variables X and Y with distribution X Poisson (p) and Y~ Poisson (20), and observations x = 2 and y = 5 of these. (a) Show that the expression for the log-likelihood function is given by: l(φ) Plot 1() for values of € [0, 10] (a rough sketch is OK). For what value of does l() have its maximum? (b) Calculate the probability maximization estimator for the observed values x = 2 and y = 5. = [5 ln (2) In (2!) − ln (5!)] + 7 ln - 30. -
4. Probability maximization: We have independent random variables X and Y with distribution X Poisson (p) and Y~ Poisson (20), and observations x = 2 and y = 5 of these. (a) Show that the expression for the log-likelihood function is given by: l(φ) Plot 1() for values of € [0, 10] (a rough sketch is OK). For what value of does l() have its maximum? (b) Calculate the probability maximization estimator for the observed values x = 2 and y = 5. = [5 ln (2) In (2!) − ln (5!)] + 7 ln - 30. -
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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