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:
“The present war having so long cut off all communication with Great-Britain, we are not able to make a fair estimate of the state of science in that country. The spirit in which she wages war is the only sample before our eyes, and that does not seem the legitimate offspring either of science or of civilization.”
—Thomas Jefferson (1743–1826)
“It is time to provide a smashing answer for those cynical men who say that a democracy cannot be honest, cannot be efficient.... We have in the darkest moments of our national trials retained our faith in our own ability to master our own destiny.”
—Franklin D. Roosevelt (1882–1945)