Confidence intervals in the case of weighted ordinary least squares (OLS) regression
The theory of calibration confidence intervals in some cases of heteroscedastic error is presented. Implementation of the theory in Chrom&Spec Chromatography Data Station is described. The cases of constant absolute and relative error, as well as error proportional to square root of the signal are investigated. General case of confidence interval for unequal (heteroscedastic) measurement error are discussed.