Summary
Multiparametric least-squares regressions are well known statistical methods which have not been fully applied to the treatment of GC data. We describe here such a weighted method. The calculation times are short, convergence is straightforward and there is no need for a series of consecutive homologous compounds. Equations are obtained for estimation of standard deviations on parameters and derived quantities. Confidence intervals so constructed can save much time in the analytical use of GC data.
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Maeck, M., Badjah Hadj Ahmed, A.Y., Touabet, A. et al. A fast multiparametric least-squares adjustment of GC data. Chromatographia 22, 245–248 (1986). https://doi.org/10.1007/BF02268767
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DOI: https://doi.org/10.1007/BF02268767