00:01
Yes, it is possible for one unbiased estimator to be better than the other.
00:08
There are a few different ways to determine which estimator isn't better.
00:12
So here are some ways.
00:14
The mean squared error, or mse, the mean square error of an estimator is a measure of its average accuracy, and the estimator with the lower mse is considered to be the better estimator.
00:31
The mean absolute error, or m -a -e, the m -a -e, the m -a -e, the m -e -e -e -e, the m -n -s -e, m .a.
00:41
An estimator is another measure of its average accuracy, and the estimator with the lower mae is considered to be the better estimator.
00:49
The mean absolute deviation for mad.
01:03
This is another measure of its average accuracy, and the estimator with the lower mad is considered to be the better estimate...