Non-parametric permutation test for the discrimination of float glass samples based on LIBS spectra
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...
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| Veröffentlicht in: | Journal of chemometrics 2010-06, Vol.24 (6), p.312-319 |
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| creator | McIntee, Erin Viglino, Emilie Kumor, Stephanie Rinke, Caitlin Ni, Liqiang Sigman, Michael E. |
| description | 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.
Laser‐induced breakdown spectroscopy (LIBS) coupled with non‐parametric permutation based hypothesis testing is demonstrated to have good performance in discriminating float glass samples. Without rigid distributional assumptions, the permutation test exhibits excellent discriminating power while holding the actual size of Type I error at the nominal level. |
| doi_str_mv | 10.1002/cem.1308 |
| format | Article |
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Laser‐induced breakdown spectroscopy (LIBS) coupled with non‐parametric permutation based hypothesis testing is demonstrated to have good performance in discriminating float glass samples. Without rigid distributional assumptions, the permutation test exhibits excellent discriminating power while holding the actual size of Type I error at the nominal level.</description><identifier>ISSN: 0886-9383</identifier><identifier>ISSN: 1099-128X</identifier><identifier>EISSN: 1099-128X</identifier><identifier>DOI: 10.1002/cem.1308</identifier><identifier>CODEN: JOCHEU</identifier><language>eng</language><publisher>Chichester, UK: John Wiley & Sons, Ltd</publisher><subject>Breakdown ; Chemistry ; Chemometrics ; Discrimination ; Exact sciences and technology ; Floats ; Forensic science ; General and physical chemistry ; General. Nomenclature, chemical documentation, computer chemistry ; Glass ; glass analysis ; Hypothesis testing ; laser-induced breakdown spectroscopy (LIBS) ; Lasers ; non-parametric permutation test ; Permutations ; Probability ; Quality control ; Spectra ; Spectrum analysis ; Theory of reactions, general kinetics. Catalysis. Nomenclature, chemical documentation, computer chemistry</subject><ispartof>Journal of chemometrics, 2010-06, Vol.24 (6), p.312-319</ispartof><rights>Copyright © 2010 John Wiley & Sons, Ltd.</rights><rights>2015 INIST-CNRS</rights><rights>Copyright John Wiley and Sons, Limited Jun 2010</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4268-6ff0a365cf01c41e6ec2c9b844d71ab1b27f512f771e4de6429624a8fb34bbb53</citedby><cites>FETCH-LOGICAL-c4268-6ff0a365cf01c41e6ec2c9b844d71ab1b27f512f771e4de6429624a8fb34bbb53</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fcem.1308$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fcem.1308$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,777,781,1412,27905,27906,45555,45556</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=22984364$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>McIntee, Erin</creatorcontrib><creatorcontrib>Viglino, Emilie</creatorcontrib><creatorcontrib>Kumor, Stephanie</creatorcontrib><creatorcontrib>Rinke, Caitlin</creatorcontrib><creatorcontrib>Ni, Liqiang</creatorcontrib><creatorcontrib>Sigman, Michael E.</creatorcontrib><title>Non-parametric permutation test for the discrimination of float glass samples based on LIBS spectra</title><title>Journal of chemometrics</title><addtitle>J. Chemometrics</addtitle><description>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.
Laser‐induced breakdown spectroscopy (LIBS) coupled with non‐parametric permutation based hypothesis testing is demonstrated to have good performance in discriminating float glass samples. Without rigid distributional assumptions, the permutation test exhibits excellent discriminating power while holding the actual size of Type I error at the nominal level.</description><subject>Breakdown</subject><subject>Chemistry</subject><subject>Chemometrics</subject><subject>Discrimination</subject><subject>Exact sciences and technology</subject><subject>Floats</subject><subject>Forensic science</subject><subject>General and physical chemistry</subject><subject>General. Nomenclature, chemical documentation, computer chemistry</subject><subject>Glass</subject><subject>glass analysis</subject><subject>Hypothesis testing</subject><subject>laser-induced breakdown spectroscopy (LIBS)</subject><subject>Lasers</subject><subject>non-parametric permutation test</subject><subject>Permutations</subject><subject>Probability</subject><subject>Quality control</subject><subject>Spectra</subject><subject>Spectrum analysis</subject><subject>Theory of reactions, general kinetics. Catalysis. Nomenclature, chemical documentation, computer chemistry</subject><issn>0886-9383</issn><issn>1099-128X</issn><issn>1099-128X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><recordid>eNp10F9rFDEUBfAgCq5V8CMEQfRlav5NknnUpa3FdRWs2LdwJ3ujU2cmY5JF--1N2aUPgk_34f44HA4hzzk75YyJNx6nUy6ZfUBWnHVdw4W9fkhWzFrddNLKx-RJzjeM1Z9UK-K3cW4WSDBhSYOnC6ZpX6AMcaYFc6EhJlp-IN0N2adhGubDLwYaxgiFfh8hZ5phWkbMtIeMO1r_m8t3X2he0JcET8mjAGPGZ8d7Qr6en12t3zebTxeX67ebxiuhbaNDYCB16wPjXnHU6IXveqvUznDoeS9MaLkIxnBUO9RKdFoosKGXqu_7Vp6QV4fcJcVf-1reTbU0jiPMGPfZdYxrw1grqnzxj7yJ-zTXcq5lxlojrK3o9QH5FHNOGNxSB4B06zhzd1u7urW727rSl8c8yB7GkGD2Q773QnRWSa2qaw7u9zDi7X_z3Prs4zH36Idc8M-9h_TTaSNN675tL1yr2Ifrz9srdy7_Avl-nAo</recordid><startdate>201006</startdate><enddate>201006</enddate><creator>McIntee, Erin</creator><creator>Viglino, Emilie</creator><creator>Kumor, Stephanie</creator><creator>Rinke, Caitlin</creator><creator>Ni, Liqiang</creator><creator>Sigman, Michael E.</creator><general>John Wiley & Sons, Ltd</general><general>Wiley</general><general>Wiley Subscription Services, Inc</general><scope>BSCLL</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7U5</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>201006</creationdate><title>Non-parametric permutation test for the discrimination of float glass samples based on LIBS spectra</title><author>McIntee, Erin ; Viglino, Emilie ; Kumor, Stephanie ; Rinke, Caitlin ; Ni, Liqiang ; Sigman, Michael E.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4268-6ff0a365cf01c41e6ec2c9b844d71ab1b27f512f771e4de6429624a8fb34bbb53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Breakdown</topic><topic>Chemistry</topic><topic>Chemometrics</topic><topic>Discrimination</topic><topic>Exact sciences and technology</topic><topic>Floats</topic><topic>Forensic science</topic><topic>General and physical chemistry</topic><topic>General. Nomenclature, chemical documentation, computer chemistry</topic><topic>Glass</topic><topic>glass analysis</topic><topic>Hypothesis testing</topic><topic>laser-induced breakdown spectroscopy (LIBS)</topic><topic>Lasers</topic><topic>non-parametric permutation test</topic><topic>Permutations</topic><topic>Probability</topic><topic>Quality control</topic><topic>Spectra</topic><topic>Spectrum analysis</topic><topic>Theory of reactions, general kinetics. Catalysis. Nomenclature, chemical documentation, computer chemistry</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>McIntee, Erin</creatorcontrib><creatorcontrib>Viglino, Emilie</creatorcontrib><creatorcontrib>Kumor, Stephanie</creatorcontrib><creatorcontrib>Rinke, Caitlin</creatorcontrib><creatorcontrib>Ni, Liqiang</creatorcontrib><creatorcontrib>Sigman, Michael E.</creatorcontrib><collection>Istex</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Journal of chemometrics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>McIntee, Erin</au><au>Viglino, Emilie</au><au>Kumor, Stephanie</au><au>Rinke, Caitlin</au><au>Ni, Liqiang</au><au>Sigman, Michael E.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Non-parametric permutation test for the discrimination of float glass samples based on LIBS spectra</atitle><jtitle>Journal of chemometrics</jtitle><addtitle>J. Chemometrics</addtitle><date>2010-06</date><risdate>2010</risdate><volume>24</volume><issue>6</issue><spage>312</spage><epage>319</epage><pages>312-319</pages><issn>0886-9383</issn><issn>1099-128X</issn><eissn>1099-128X</eissn><coden>JOCHEU</coden><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.
Laser‐induced breakdown spectroscopy (LIBS) coupled with non‐parametric permutation based hypothesis testing is demonstrated to have good performance in discriminating float glass samples. Without rigid distributional assumptions, the permutation test exhibits excellent discriminating power while holding the actual size of Type I error at the nominal level.</abstract><cop>Chichester, UK</cop><pub>John Wiley & Sons, Ltd</pub><doi>10.1002/cem.1308</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Breakdown Chemistry Chemometrics Discrimination Exact sciences and technology Floats Forensic science General and physical chemistry General. Nomenclature, chemical documentation, computer chemistry Glass glass analysis Hypothesis testing laser-induced breakdown spectroscopy (LIBS) Lasers non-parametric permutation test Permutations Probability Quality control Spectra Spectrum analysis Theory of reactions, general kinetics. Catalysis. Nomenclature, chemical documentation, computer chemistry |
| title | Non-parametric permutation test for the discrimination of float glass samples based on LIBS spectra |
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