Some articles on square error, square errors, square:
... In statistics and signal processing, a minimum mean square error (MMSE) estimator describes the approach which minimizes the mean square error (MSE), which is a common measure of estimator quality ...
... will improve at least one of the individual mean square errors This is not hard − for instance, if is between −1 and 1, and σ = 1, then an estimator that moves towards 0 by 0.5 ... in such a way that there is always (for any θ vector) at least one whose mean square error is improved, and its improvement more than compensates for any degradation in mean ... θ, you don't know which of the n mean square errors are improved, so you can't use the Stein estimator only for those parameters ...
... is the sample average which has an expected value of μ (so it is unbiased) and a mean square error of For a Gaussian distribution this is the best unbiased estimator (that is ... to, and an appropriate choice can always give a lower mean square error ... The fourth central moment is an upper bound for the square of variance, so that the least value for their ratio is one, therefore, the least value for the excess kurtosis is -2, achieved, for ...
Famous quotes containing the words error and/or square:
What damned error but some sober brow
Will bless it, and approve it with a text,
Hiding the grossness with fair ornament?”
—William Shakespeare (15641616)
“I walked by the Union Square Bar, I was gonna go in. And I saw myself, my reflection in the window. And I thought, I wonder who that bum is. And then I saw it was me. Now look at me, Im a bum. Look at me. Look at you. Youre a bum.”
—J.P. (James Pinckney)