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Tests in the fan plot for robust, diagnostic transformations in regression

Authors :
Anthony C. Atkinson
Marco Riani
Source :
Chemometrics and Intelligent Laboratory Systems. 60:87-100
Publication Year :
2002
Publisher :
Elsevier BV, 2002.

Abstract

The fan plot of the score statistic for transformation during the forward search is a powerful tool for detecting masked outliers that indicate an incorrect transformation. We use simulation to investigate the distribution of this statistic during the search. Data structures where the normal approximation is, and is not, satisfactory are characterised.

Subjects

Subjects :
business.industry
Process Chemistry and Technology
Score
Multivariate normal distribution
Pattern recognition
Power transform
Data structure
Regression
Computer Science Applications
Analytical Chemistry
Outlier
Normal approximation
Artificial intelligence
business
Spectroscopy
Software
Statistic
Mathematics

Details

ISSN :
01697439
Volume :
60
Database :
OpenAIRE
Journal :
Chemometrics and Intelligent Laboratory Systems
Accession number :
edsair.doi...........0ba2339c015ec9f266928541af18909d
Full Text :
https://doi.org/10.1016/s0169-7439(01)00187-3
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