Sample Moments
The moments of a population can be estimated using the sample k-th moment
applied to a sample X1,X2,..., Xn drawn from the population.
It can be shown that the expected value of the sample moment is equal to the k-th moment of the population, if that moment exists, for any sample size n. It is thus an unbiased estimator.
Read more about this topic: Moment (mathematics)
Famous quotes containing the words sample and/or moments:
“All that a city will ever allow you is an angle on it—an oblique, indirect sample of what it contains, or what passes through it; a point of view.”
—Peter Conrad (b. 1948)
“Suffering is by no means a privilege, a sign of nobility, a reminder of God. Suffering is a fierce, bestial thing, commonplace, uncalled for, natural as air. It is intangible; no one can grasp it or fight against it; it dwells in time—is the same thing as time; if it comes in fits and starts, that is only so as to leave the sufferer more defenseless during the moments that follow, those long moments when one relives the last bout of torture and waits for the next.”
—Cesare Pavese (1908–1950)