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In regression analysis, the distinction between errors and residuals is subtle and important, and leads to the concept of studentized residuals. Given an unobservable function that relates the independent variable to the dependent variable – say, a line – the deviations of the dependent variable observations from this function are the ...
Least absolute deviations (LAD), also known as least absolute errors (LAE), least absolute residuals (LAR), or least absolute values (LAV), is a statistical optimality criterion and a statistical optimization technique based on minimizing the sum of absolute deviations (also sum of absolute residuals or sum of absolute errors) or the L 1 norm of such values.
Download QR code; Print/export ... Pages in category "Errors and residuals" ... Mean absolute error; N. Non-sampling error; O.
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Linear least squares (LLS) is the least squares approximation of linear functions to data. It is a set of formulations for solving statistical problems involved in linear regression, including variants for ordinary (unweighted), weighted, and generalized (correlated) residuals.
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Download QR code; Print/export ... root mean squared error, mean absolute percentage error, ... Errors and residuals in statistics;
Download as PDF; Printable version; In other projects ... For absolute errors, the opposite is true: ... Errors and residuals in statistics; Experimental uncertainty ...