Errors And Residuals In Statistics
In statistics and optimization, statistical errors and residuals are two closely related and easily confused measures of the deviation of a sample from its "theoretical value". The error of a sample is the deviation of the sample from the (unobservable) true function value, while the residual of a sample is the difference between the sample and the estimated function value.
The distinction is most important in regression analysis, where it leads to the concept of studentized residuals.
Read more about Errors And Residuals In Statistics: Introduction, Regressions, Other Uses of The Word "error" in Statistics
Famous quotes containing the words errors and, errors and/or statistics:
“Truth has not single victories; all things are its organs,—not only dust and stones, but errors and lies.”
—Ralph Waldo Emerson (1803–1882)
“Repent, repent, and from old errors turn!’
Who listened to his voice, obeyed his cry?
Only the echoes, which he made relent,
Rung from their marble caves ‘Repent! Repent!’”
—William Drummond, of Hawthornden (1585–1649)
“Maybe a nation that consumes as much booze and dope as we do and has our kind of divorce statistics should pipe down about “character issues.” Either that or just go ahead and determine the presidency with three-legged races and pie-eating contests. It would make better TV.”
—P.J. (Patrick Jake)