a. All of the choices. b. We usually find the maximum likelihood estimates by maximising the log-likelihood. OC. In the context of the Normal linear model, the method of least squares and the method of maximising the likelihood are two alternative methods of estimation. Od. In the context of the logistic regression model, the method of least squares does not have a closed form solution. e. None of the choices.

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
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which is correct

a.
b. We usually find the maximum likelihood estimates by maximising the log-likelihood.
In the context of the Normal linear model, the method of least squares and the method of maximising the
likelihood are two alternative methods of estimation.
C.
All of the choices.
d. In the context of the logistic regression model, the method of least squares does not have a closed form
solution.
e.
None of the choices.
Transcribed Image Text:a. b. We usually find the maximum likelihood estimates by maximising the log-likelihood. In the context of the Normal linear model, the method of least squares and the method of maximising the likelihood are two alternative methods of estimation. C. All of the choices. d. In the context of the logistic regression model, the method of least squares does not have a closed form solution. e. None of the choices.
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