TITLE

Secondary ion mass spectrometry for the identification of polymers with noncharacteristic secondary ions using multivariate statistical analysis

AUTHOR(S)
van Gennip, W. J. H.; Thüne, P. C.; Dijkstra, J. B.; Niemantsverdriet, J. W.
PUB. DATE
March 2004
SOURCE
Applied Physics Letters;3/8/2004, Vol. 84 Issue 10, p1789
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
Eleven different, filler-free polymers were depth profiled until all secondary ion signals were stable. Discriminant function analysis and principal components analysis were performed on a dataset containing the intensities of noncharacteristic hydrocarbon secondary ions, measured in this steady state. Discriminant function analysis showed that these secondary ions were sufficient to correctly identify all polymers using leave-one-out correction. Even with principal components analysis, which uses no prior knowledge about the origin of a data point, identification was shown to be possible. © 2004 American Institute of Physics.
ACCESSION #
12405686

 

Related Articles

  • Multivariate Analysis of an LA-ICP-MS Trace Element Dataset for Pyrite. Winderbaum, Lyron; Ciobanu, Cristiana; Cook, Nigel; Paul, Matthew; Metcalfe, Andrew; Gilbert, Sarah // Mathematical Geosciences;Oct2012, Vol. 44 Issue 7, p823 

    Application of multivariate statistics to trace element datasets is reviewed using 164 multi-element LA-ICP-MS spot analyses of pyrite from the Moonlight epithermal gold prospect, Queensland, Australia. Multivariate analysis of variance (MANOVA) is used to demonstrate that classification of...

  • Reduction of Measuring Items- Contemporary Issue in Assessing Internal Consistency. Fadare, Oluwaseun Gbenga; Babatunde, Hezekiah Oluleye; Ojo, Gbenga Olayinka; Iyanda, John Niyi; Sangogboye, Fisayo Caleb // International Journal of Computer Science Issues (IJCSI);Nov2011, Vol. 8 Issue 6, p218 

    This paper discusses principal component analysis (PCA) as an underlying factor reduction and as a complex, sequential variable reduction procedure in measuring and evaluating internal consistency of measuring instrument. This review paper provides theoretically and practical contemporary-issues...

  • Appearance Schemas Inventory - Revised: Psychometric Properties of the Greek Version in a Female Sample. Argyrides, Marios; Kkeli, Natalie // North American Journal of Psychology;Dec2013, Vol. 15 Issue 3, p577 

    The current study examined the psychometric properties of a Greek version of the Appearance Schemas Inventory - Revised (ASI-R). A total of 269 university female students (mean age = 25.1 years, SD = 3.81; mean height = 163cm, SD = 6.1cm; mean weight = 57.9Kg, SD = 10.78) were administered the...

  • The optimality of the centroid method. Choulakian, Vartan // Psychometrika;Sep2003, Vol. 68 Issue 3, p473 

    The aim of this note is to show that the centroid method has two optimality properties. It yields loadings with the highest sum of absolute values, even in absence of the constraint that the squared component weights be equal. In addition, it yields scores with maximum variance, subject to the...

  • Development of an instrument for measuring different types of cognitive load. Leppink, Jimmie; Paas, Fred; Van der Vleuten, Cees P. M.; Van Gog, Tamara; Van Merriënboer, Jeroen J. G. // Behavior Research Methods;Dec2013, Vol. 45 Issue 4, p1058 

    According to cognitive load theory, instructions can impose three types of cognitive load on the learner: intrinsic load, extraneous load, and germane load. Proper measurement of the different types of cognitive load can help us understand why the effectiveness and efficiency of learning...

  • Estudio Exploratorio de las Características Psicométricas del Portrait Values Questionnaire en el Contexto de Córdoba - Argentina. IMHOFF, DÉBORA; BRUSSINO, SILVINA // Revista Colombiana de Psicología;ene-jun2013, Vol. 22 Issue 1, p135 

    The survey analyzed some psychometric characteristics of the 21-item version of the Portrait Values Questionnaire (PVQ), an instrument to measure human values (Schwartz & Rubel- Lifschitz, 2009) in a non-random sample of 419 citizens of Córdoba (Argentina), with a mean age of 34.81 and a...

  • NEWTON ALGORITHMS FOR ANALYTIC ROTATION: AN IMPLICIT FUNCTION APPROACH. Boik, Robert J. // Psychometrika;Jun2008, Vol. 73 Issue 2, p231 

    In this paper implicit function-based parameterizations for orthogonal and oblique rotation matrices are proposed. The parameterizations are used to construct Newton algorithms for minimizing differentiable rotation criteria applied to m factors and p variables. The speed of the new algorithms...

  • Methodological issues in determining the dimensionality of composite health measures using principal component analysis: case illustration and suggestions for practice. Coste, Joël; Bouée, Stéphane; Ecosse, Emmanuel; Leplège, Alain; Pouchot, Jacques; Coste, Joël; Bouée, Stéphane; Leplège, Alain // Quality of Life Research;Apr2005, Vol. 14 Issue 3, p641 

    During the early steps of the construction of composite health measures, principal component analysis (PCA) is commonly used to identify 'latent' factors that underlie observed variables and to determine the dimensionality of the instruments. The determination of the number of components to...

  • A Monté Carlo Comparison of Factor Analytic Methods. Acito, Franklin; Anderson, Ronald D. // Journal of Marketing Research (JMR);May80, Vol. 17 Issue 2, p228 

    Three factor analytic procedures, principal components analysis, image analysis, and alpha factor analysis, are compared by means of a Monté Carlo simulation. The simulation allows systematic tests of the ability of each method to recover prespecified factor patterns. Image and alpha analysis...

Share

Read the Article

Courtesy of THE LIBRARY OF VIRGINIA

Sorry, but this item is not currently available from your library.

Try another library?
Sign out of this library

Other Topics