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Robust, locally stable, measurement error regression methods
Author(s) -
Roy Tapon
Publication year - 1997
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/(sici)1099-128x(199711/12)11:6<501::aid-cem487>3.0.co;2-#
Subject(s) - regression , robust regression , computer science , observational error , regression analysis , statistics , regression dilution , mathematics , chemometrics , machine learning , polynomial regression
Robust, equivariant, locally stable, measurement error (ME) techniques for estimating parameters in regression models are developed and compared with other robust methods which do not combine high resistance with local stability. Examples from physical chemistry and astronomy are used to illustrate the techniques. © 1997 John Wiley & Sons, Ltd.