Non-parametric permutation test for the discrimination of float glass samples based on LIBS spectra

    Authors

    E. McIntee; E. Viglino; S. Kumor; C. Rinke; L. Q. Ni;M. E. Sigman

    Comments

    Authors: contact us about adding a copy of your work at STARS@ucf.edu

    Abbreviated Journal Title

    J. Chemometr.

    Keywords

    non-parametric permutation test; laser-induced breakdown spectroscopy; (LIBS); glass analysis; INDUCED BREAKDOWN SPECTROSCOPY; ELEMENTAL COMPOSITION MEASUREMENTS; PLASMA-MASS SPECTROMETRY; CLASSIFICATION; FRAGMENTS; Automation & Control Systems; Chemistry, Analytical; Computer Science, ; Artificial Intelligence; Instruments & Instrumentation; Mathematics, ; Interdisciplinary Applications; Statistics & Probability

    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 (C) 2010 John Wiley & Sons, Ltd.

    Journal Title

    Journal of Chemometrics

    Volume

    24

    Issue/Number

    5-6

    Publication Date

    1-1-2010

    Document Type

    Article

    Language

    English

    First Page

    312

    Last Page

    319

    WOS Identifier

    WOS:000280017700008

    ISSN

    0886-9383

    Share

    COinS