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Robust non‐linear regression analysis
Author(s) -
Roy Tapon
Publication year - 1995
Publication title -
journal of chemometrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.47
H-Index - 92
eISSN - 1099-128X
pISSN - 0886-9383
DOI - 10.1002/cem.1180090603
Subject(s) - robust regression , outlier , linear regression , regression diagnostic , regression , proper linear model , calibration , regression analysis , normality , computer science , nonlinear regression , mathematics , statistics , polynomial regression
Several robust regression methods, including a new proposal, are described and their properties discussed. Resistance to various types of outliers and non‐normality is demonstrated. The techniques are applied to non‐linear regression models from chemical kinetics and calibration. Optimization of the types of objective functions encountered when applying robust regression is considered.