a) Write down the log likelihood function for the sample and show that the MLE is the sample mean. b) Derive the score and the Hessian (it's a scalar here since there is only one parameter). Derive the information “matrix," which is scalar here. c) Derive the formulas for the Wald and LM tests of the hypothesis that 0= 0o (against the alternative that it's anything else). Verify that under the null the two test statistics have the same probability limit.
a) Write down the log likelihood function for the sample and show that the MLE is the sample mean. b) Derive the score and the Hessian (it's a scalar here since there is only one parameter). Derive the information “matrix," which is scalar here. c) Derive the formulas for the Wald and LM tests of the hypothesis that 0= 0o (against the alternative that it's anything else). Verify that under the null the two test statistics have the same probability limit.
A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
Section: Chapter Questions
Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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Bernoulli Distribution
Bernoulli distribution is a discrete distribution having two outcomes one is success denoted as p and failure denoted as q = 1-p where 0<p<1
P(n) =
The probability density function is given as
Probability mass function of x
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