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Feb 11, 2019 at 9:46 comment added StubbornAtom If any statistic $T$ such that $T_1<T<T_2$ is an MLE, then $\alpha T_1+(1-\alpha)T_2$ is also an MLE for any $\alpha\in(0,1)$ since it lies between $T_1$ and $T_2$. As option (D) is correct, check if you can write the estimators in options (A),(B),(C) in the form $\alpha(\frac{Y_n-1}{2})+(1-\alpha)(\frac{Y_1+1}{2})$.
Feb 8, 2019 at 20:19 history edited kjetil b halvorsen
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Feb 8, 2019 at 18:31 history edited StubbornAtom CC BY-SA 4.0
edited tags; edited title
Feb 8, 2019 at 18:17 comment added StubbornAtom Please add the 'self-study' tag and read the tag wiki.
Feb 8, 2019 at 17:43 comment added whuber One approach would be to compute the likelihoods for all four estimators. Another is to compute the maximum likelihood estimate outright. Have you tried either of these?
Feb 8, 2019 at 17:22 history asked Jor_El CC BY-SA 4.0