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The main requirement for CI estimation is to know the sampling distribution of the estimator in question [15].
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The estimator in (2) is called the James-Stein estimator in the literature [ 23].
Among all the estimators of the form in (4), the estimator in (3) has the minimized mean squared error.
Note that, EMS is an unbiased estimator of σ e 2 (BMS-EMS)/k is an unbiased estimator of σ T 2 Although the estimator in (4) is a ratio of unbiased estimators, it need not necessarily be unbiased itself.
The estimation is carried out with a matching estimator considering only treated individuals of both groups, where group attachment is the treatment in question.
In order to use a knn classifier as a reliability estimator the labels from the original instances are replaced by an indicator of whether the classifier in question was correct on that instance or not.
The companion in question?
The animal in question?
The skill in question?
The painting in question?
The scene in question?
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