See: Residual, Error, Statistical Deviation, Statistical Variance, Regression Task, Error Term Probability Distribution Family, Average Sum-of-Squares Error Term, Studentized Residual, Statistical Sample, Population Mean, Sample Mean, Regression Analysis.
- (Wikipedia, 2015) ⇒ http://en.wikipedia.org/wiki/errors_and_residuals Retrieved:2015-6-24.
- In statistics and optimization, errors and residuals are two closely related and easily confused measures of the deviation of an observed value of an element of a statistical sample from its "theoretical value". The error (or disturbance) of an observed value is the deviation of the observed value from the (unobservable) true value of a quantity of interest (for example, a population mean), and the residual of an observed value is the difference between the observed value and the estimated value of the quantity of interest (for example, a sample mean). The distinction is most important in regression analysis, where it leads to the concept of studentized residuals.