Title
Non-Parametric Permutation Test For The Discrimination Of Float Glass Samples Based On Libs Spectra
Keywords
Glass Analysis; Laser-Induced Breakdown Spectroscopy (Libs); Non-Parametric Permutation Test
Abstract
Laser-induced breakdown spectroscopy (LIBS) coupled with non-parametric permutation based hypothesis testing is demonstrated to have good performance in discriminating float glass samples. This type of pairwise sample comparison is important in manufacturing process quality control, forensic science and other applications where determination of a match probability between two samples is required. Analysis of the pairwise comparisons between multiple LIBS spectra from a single glass sample shows that some assumptions required by parametric methods may not hold in practice, motivating the adoption of a non-parametric permutation test. Without rigid distributional assumptions, the permutation test exhibits excellent discriminating power while holding the actual size of Type I error at the nominal level. Copyright © 2010 John Wiley & Sons, Ltd.
Publication Date
6-1-2010
Publication Title
Journal of Chemometrics
Volume
24
Issue
6
Number of Pages
312-319
Document Type
Article
Personal Identifier
scopus
Copyright Status
Unknown
Socpus ID
77954019079 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/77954019079
STARS Citation
McIntee, Erin; Viglino, Emilie; Kumor, Stephanie; Rinke, Caitlin; and Ni, Liqiang, "Non-Parametric Permutation Test For The Discrimination Of Float Glass Samples Based On Libs Spectra" (2010). Scopus Export 2010-2014. 939.
https://stars.library.ucf.edu/scopus2010/939