the regression errors and regression residuals and where they lead to the concept of studentized residuals. In econometrics, "errors" are also called...

statistics, the residual sum of squares (RSS), also known as the sum of squared residuals (SSR) or the sum of squared estimate of errors (SSE), is the sum...

variances of the errors at these different input variable values are equal. The issue is the difference between errors and residuals in statistics, particularly...

is attributed to such errors, they are "errors" in the sense in which that term is used in statistics; see errors and residuals in statistics. Every time...

population of all possible observations, the residuals should belong to a Student's t-distribution. Studentized residuals are useful in making a statistical test...

least absolute errors (LAE), least absolute residuals (LAR), or least absolute values (LAV), is a statistical optimality criterion and a statistical optimization...

(and are therefore always in reference to an estimate) and are called errors (or prediction errors) when computed out-of-sample (aka on the full set, referencing...

of residuals against time drift in the errors (data collected over time): run charts of the response and errors versus time independence of errors: lag...

to acquitting a criminal. The crossover error rate (CER) is the point at which type I errors and type II errors are equal. A system with a lower CER value...

Accepted and experimental value Condition number Errors and residuals in statistics Experimental uncertainty analysis Machine epsilon Measurement error Measurement...