### Some articles on *square error, square errors, square*:

Minimum Mean

... In statistics and signal processing, a minimum mean

**Square Error**... 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 ...Stein's Example - An Intuitive Explanation

... will improve at least one of the individual mean

... 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 ...Mean Squared Error - Examples

... is the sample average which has an expected value of μ (so it is unbiased) and a mean

... 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:

“In religion,

What damned *error* but some sober brow

Will bless it, and approve it with a text,

Hiding the grossness with fair ornament?”

—William Shakespeare (1564–1616)

“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, I’m a bum. Look at me. Look at you. You’re a bum.”

—J.P. (James Pinckney)

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