Robust orthogonal regression for the outlier detection when comparing two series of measurement results
- 30 May 1997
- journal article
- Published by Elsevier in Analytica Chimica Acta
- Vol. 344 (1-2) , 17-28
- https://doi.org/10.1016/s0003-2670(97)00057-3
Abstract
No abstract availableKeywords
This publication has 8 references indexed in Scilit:
- Decision support system for run suitability checking and explorative method validation in electrothermal atomic absorption spectrometryJournal of Analytical Atomic Spectrometry, 1996
- Determination of nitrate and nitrite in vegetables by capillary electrophoresis with indirect detectionJournal of Chromatography A, 1995
- The quality coefficient as a tool in decisions about the quality of calibration in graphite furnace atomic absorption spectrometryChemometrics and Intelligent Laboratory Systems, 1992
- Exploratory study on median-based robust regression methods for linear calibration in atomic absorption spectrometric analysisJournal of Analytical Atomic Spectrometry, 1989
- Comparison of robust regression methods based on least-median and adaptive kalman filtering approaches applied to linear calibration dataAnalytica Chimica Acta, 1988
- Least median of squares: a robust method for outlier and model error detection in regression and calibrationAnalytica Chimica Acta, 1986
- Least Median of Squares RegressionJournal of the American Statistical Association, 1984
- Robust regression using repeated mediansBiometrika, 1982