Question

Asked Apr 23, 2019

9.12 question attached

Step 1

In the given distribution function, theta is the real valued parameter specified by null hypothesis as shown below. We will test the null hypothesis based on the sample and if the null hyppthesis holds, the likelihood function would be very large at hypothesized value. This comparison happens at maximum likelihood value over the interval.

The likelihood ratio for null hypothesis vs alternative hypothesis is given by lambda which is the ratio of likelihood function at hypothesized value and the maximum likelihood over the interval. Null hypothesis is rejected if lambda is small.

Step 2

Maximum likelihood estimate...

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