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2014

  • N.M. Faber
    Reflections on a recent report of the World Anti-Doping Agency
    Accreditation and Quality Assurance, 19 (2014) 139


2012

  • A.C. Olivieri and K. Faber
    New developments for the sensitivity estimation in four-way calibration with the quadrilinear parallel factor model
    Analytical Chemistry, 84 (2012) 186-193
  • M.G Burke and K. Faber
    A plea for thresholds, i.e., maximum allowed levels for prohibited substances, to prevent questionable doping convictions
    Science and Justice, 52 (2012) 199-201


2011

  • S. Serneels, K. Faber, T. Verdonck and P.J. Van Espen
    Case specific prediction intervals for tri-PLS1: The full local linearisation
    Chemometrics and Intelligent Laboratory Systems, 108 (2011) 93-99


2010

  • N.M. Faber
    Floyd Landis: an unsafe conviction, regardless of the quality of the data
    Clinica Chimica Acta, 411 (2010) 117-118
  • N.M. Faber and B.G.M. Vandeginste
    Flawed science 'legalized' in the fight against doping: the example of the biological passport
    Accreditation and Quality Assurance, 15 (2010) 373-374
  • N.M. Faber
    Het biologisch paspoort: veelbelovende opsporingstechniek of juridisch wankel?
    Tijdschrift voor Sport & Recht, 2010, 2: 79-89
  • K. Faber
    Failing intuition and lying statistics have condemned Claudia Pechstein
    Deutsche Zeitschrift für Sportmedizin, 61 (2010) 245-246


2009

  • N.M. Faber
    Regulations in the field of residue and doping analysis should ensure the risk of false positive declaration is well-defined
    Accreditation and Quality Assurance, 14 (2009) 111-115
  • N.M. Faber
    Towards more fair and effective doping tests based on chromatography with mass spectrometric detection
    Accreditation and Quality Assurance, 14 (2009) 223-226
  • K. Faber
    On the unacceptable reporting of results in doping control
    Accreditation and Quality Assurance, 14 (2009) 341
  • N.M. Faber
    Validation of specificity in doping control: problems and prospects
    Accreditation and Quality Assurance, 14 (2009) 399
  • N.M. Faber
    Pleidooi voor een eerlijk proces in dopingzaken
    Nederlands Juristenblad, 84 (2009) 2880-2883
  • N.M. Faber
    The X-residuals calculated by partial least squares are problematic for uncertainty estimation
    Chemometrics and Intelligent Laboratory Systems, 96 (2009) 264-265
  • K. Faber and M. Sjerps
    Anti-doping researchers should conform to certain statistical standards from forensic science
    Science and Justice, 49 (2009) 214-215
  • J. Ferré, R. Boqué and N.M. Faber
    Multiway data analysis: eigenvector-based methods
    in B. Walczak, R. Tauler and S. Brown, Comprehensive Chemometrics. Chemical and Biochemical Data Analysis, Elsevier, 2009
  • D.B. Hibbert, P. Minkkinen, N.M. Faber and B.M. Wise
    IUPAC project: A glossary of concepts and terms in chemometrics
    Analytica Chimica Acta, 642 (2009) 3-5
  • A.C. Olivieri and N.M. Faber
    Validation and error
    in B. Walczak, R. Tauler and S. Brown, Comprehensive Chemometrics. Chemical and Biochemical Data Analysis, Elsevier, 2009


2008

  • N.M. Faber and J. Ferré
    On the numerical stability of two widely used PLS algorithms
    Journal of Chemometrics, 22 (2008) 101-105; 22 (2008) 422
  • N.M. Faber
    The limit of detection is not the analyte level for deciding between "detected" and "not detected"
    Accreditation and Quality Assurance, 13 (2008) 277-278
  • N.M. Faber
    GRAM satisfies Kruskal's condition
    Journal of Chemometrics, 22 (2008) 417-418
  • N.M. Faber
    Degrees of freedom for the residuals of a principal component analysis — a clarification
    Chemometrics and Intelligent Laboratory Systems, 93 (2008) 80-86
  • N.M. Faber
    Doping: using flexible criteria could reduce false positives
    Nature, 455 (2008) 1176
  • R. Rajkó and N.M. Faber
    Proof that vertex vectors sequential projection method is not general
    Chemometrics and Intelligent Laboratory Systems, 94 (2008) 70-71


2007

  • G.M. Escandar, A.C. Olivieri, N.M. Faber, H.C. Goicoechea, A. Muñoz de la Peña and R.J. Poppi
    Second and third-order multivariate calibration: Data, algorithms and applications
    Trends in Analytical Chemistry, 26 (2007) 752-765
  • K. Faber
    Analytische software moet beter (Netherlands.png)
    C2W, 103 (8) (2007) 5
  • N.M. Faber and R. Rajkó
    How to avoid over-fitting in multivariate calibration - the conventional validation approach and an alternative
    Analytica Chimica Acta, 595 (2007) 98-106
  • N.M. Faber
    A caveat concerning the application of the jack-knife to designed data
    Analytica Chimica Acta, 603 (2007) 155-158; 628 (2008) 121-122
  • M.P. Gómez-Carracedo, J.M. Andrade, D.N.Rutledge and N.M. Faber
    Selecting the optimum number of PLS components for the calibration of ATR-mid-IR spectra of undesigned kerosene samples
    Analytica Chimica Acta, 585 (2007) 253-265
  • S. Wiklund, D. Nilsson, L. Eriksson, M. Sjöström, S. Wold and K. Faber
    A randomization test for PLS component selection
    Journal of Chemometrics, 21 (2007) 427-439


2006

  • A.C. Olivieri, N.M. Faber, J. Ferré, R. Boqué, J.H. Kalivas and H. Mark
    Uncertainty estimation and figures of merit for multivariate calibration
    Pure & Applied Chemistry, 78 (2006) 633-661
  • N.M. Faber and R. Boqué
    On the calculation of decision limits in doping control
    Accreditation and Quality Assurance, 11 (2006) 536-538
  • N.M. Faber and R. Rajkó
    An evergreen problem in multivariate calibration
    Spectroscopy Europe, 18 (2006) 24-28


2005

  • R. Bro, N.M. Faber and Å. Rinnan
    Standard error of prediction for multilinear PLS. 2. Practical implementation in fluorescence spectroscopy
    Chemometrics and Intelligent Laboratory Systems, 75 (2005) 69-76
  • A.C. Olivieri and N.M. Faber
    A closed-form expression for computing the sensitivity in second-order bilinear calibration
    Journal of Chemometrics, 19 (2005) 583-592.


2004

  • N.M. Faber, F.H. Schreutelkamp and H.W. Vedder
    Estimation of prediction uncertainty for a multivariate calibration model
    Spectroscopy Europe, 16 (1) (2004) 17-20
  • N.M. Faber and R. Winzen
    Meetfouten weten, beter meten (Netherlands.png)
    Laboratorium Magazine, 40 (4) (2004) 14-17
  • A.C. Olivieri and N.M. Faber
    Standard error for prediction in parallel factor (PARAFAC) analysis of three-way data
    Chemometrics and Intelligent Laboratory Systems, 70 (2004) 75-82
  • R. Winzen and N.M. Faber
    "Falsche Fehler" in der NIR-Spektroskopie (Germany.png)
    LABO, 11 (4) (2004) 26-29


2003

  • N.M. Faber, R. Bro and P.K. Hopke
    Recent developments in CANDECOMP/PARAFAC algorithms: A critical review
    Chemometrics and Intelligent Laboratory Systems, 65 (2003) 119-137
  • N.M. Faber, X.-H. Song and P.K. Hopke
    Prediction intervals for partial least squares regression
    Trends in Analytical Chemistry, 22 (2003) 330-334
  • N.M. Faber, J. Ferré, R. Boqué and J.H. Kalivas
    Quantifying selectivity in spectrophotometric multicomponent analysis
    Trends in Analytical Chemistry, 22 (2003) 352-361
  • N.M. Faber, J. Mojet and A.M.M. Poelman
    Simple improvement of consumer fit in external preference mapping
    Food Quality and Preference, 14 (2003) 455-461
  • J.A. Fernández Pierna, L. Jin, F. Wahl, N.M. Faber and D.L. Massart
    Estimation of partial least squares regression (PLSR) prediction uncertainty when the reference values carry a sizeable measurement error
    Chemometrics and Intelligent Laboratory Systems, 65 (2003) 281-291
  • J. Ferré and N.M. Faber
    Calculation of net analyte signal for multivariate calibration
    Chemometrics and Intelligent Laboratory Systems, 69 (2003) 123-136
  • J. Ferré and N.M. Faber
    Generalization of rank reduction problems with Wedderburn's formula
    Journal of Chemometrics, 17 (2003) 603-607
  • G.H. Geesink, F.H. Schreutelkamp, R. Frankhuizen, H.W. Vedder, N.M. Faber, R.W. Kranen and M.A. Gerritzen
    Prediction of pork quality attributes from near infrared reflectance spectra
    Meat Science, 65 (2003) 661-668


2002

  • R. Boqué, J. Ferré, N.M. Faber and F.X. Rius
    Limit of detection estimator for bilinear second-order calibration
    Analytica Chimica Acta, 451 (2002) 313-321
  • N.M. Faber and R. Bro
    Standard error of prediction for multiway PLS. 1. Background and a simulation study
    Chemometrics and Intelligent Laboratory Systems, 61 (2002) 133-149
  • N.M. Faber, J. Ferré, R. Boqué and J.H. Kalivas
    Second-order bilinear calibration: the effect of vectorising the data matrices of the calibration set
    Chemometrics and Intelligent Laboratory Systems, 63 (2002) 107-116
  • N.M. Faber
    Towards a rehabilitation of the generalized rank annihilation method (GRAM)
    Analytical and Bioanalytical Chemistry, 372 (2002) 683-687
  • N.M. Faber
    Uncertainty estimation for multivariate regression coefficients
    Chemometrics and Intelligent Laboratory Systems, 64 (2002) 169-179


2001

  • N.M. Faber
    Critical evaluation of a significance test for partial least squares regression
    Analytica Chimica Acta, 432 (2001) 235-240
  • N.M. Faber
    The price paid for the second-order advantage when using the generalized rank annihilation method (GRAM)
    Journal of Chemometrics, 15 (2001) 743-748
  • N.M. Faber
    Quantifying the effect of measurement errors on the uncertainty in bilinear model predictions: a small simulation study
    Analytica Chimica Acta, 439 (2001) 193-201
  • N.M. Faber, J. Ferré and R. Boqué
    Iteratively reweighted generalized rank annihilation method. 1. Improved handling of prediction bias
    Chemometrics and Intelligent Laboratory Systems, 55 (2001) 67-90
  • N.M. Faber, R. Boqué and J. Ferré
    Iteratively reweighted generalized rank annihilation method. 2. Least squares property and variance expressions
    Chemometrics and Intelligent Laboratory Systems, 55 (2001) 91-100
  • N.M. Faber
    Comment on a recently proposed resampling method
    Journal of Chemometrics, 15 (2001) 169-188
  • X.-H. Song, N.M. Faber, P.K. Hopke, D.T. Suess, K.A. Prather, J.J. Schauer and G.R. Cass
    Source apportionment of gasoline and diesel by multivariate calibration based on single particle mass spectral data
    Analytica Chimica Acta, 446 (2001) 329-343


2000

  • R. Boqué, N.M. Faber and F.X. Rius
    Detection limits in classical multivariate calibration models
    Analytica Chimica Acta, 423 (2000) 41-49
  • N.M. Faber
    Improved computation of the standard error in the regression coefficient estimates of a multivariate calibration model
    Analytical Chemistry, 72 (2000) 4675-4676
  • N.M. Faber
    Exact presentation of multivariate calibration model as univariate calibration graph
    Chemometrics and Intelligent Laboratory Systems, 50 (2000) 107-114
  • N.M. Faber
    Response to "Comments on construction of confidence intervals in connection with partial least squares"
    Journal of Chemometrics, 14 (2000) 363-369
  • N.M. Faber
    Comparison of two recently proposed expressions for partial least squares regression prediction error
    Chemometrics and Intelligent Laboratory Systems, 52 (2000) 123-134
  • N.M. Faber
    Note on a modified Faber-Kowalski F-test for abstract factor analysis
    Journal of Chemometrics, 14 (2000) 371-374
  • N.M. Faber
    Caveat in abstract factor analysis-based pseudorank estimation
    Analytica Chimica Acta, 411 (2000) 157-161


1999

  • N.M. Faber
    Notes on two competing definitions of multivariate sensitivity
    Analytica Chimica Acta, 381 (1999) 103-109
  • N.M. Faber
    Multivariate sensitivity for the interpretation of the effect of spectral pretreatment methods on near-infrared calibration model predictions
    Analytical Chemistry, 71 (1999) 557-565
  • N.M. Faber, M. Sjerps, H.A.L. Leijenhorst and S.E. Maljaars
    Determining the optimal sample size in forensic casework - with application to fibres
    Science and Justice, 39 (1999) 113-122
  • N.M. Faber
    Estimating the uncertainty in estimates of root mean square error of prediction: application to determining the size of an adequate test set in multivariate calibration
    Chemometrics and Intelligent Laboratory Systems, 49 (1999) 79-89
  • N.M. Faber
    A closer look at the bias-variance trade-off in multivariate calibration
    Journal of Chemometrics, 13 (1999) 185-192
  • N.M. Faber
    Compression of broad-banded spectra by boxcar averaging: application to the near-infrared prediction of oxygenate concentration in gasoline
    Applied Spectroscopy, 53 (1999) 1011-1015
  • N.M. Faber
    Modification of Malinowski's F-test for pseudorank estimation revisited
    Computers and Chemistry, 23 (1999) 565-570
  • N.M. Faber
    Note on the error analysis of the generalized rank annihilation method
    Analytical Letters, 32 (1999) 2899-2906


1998

  • N.M. Faber, D.L. Duewer, S.J. Choquette, T.L. Green and S.N. Chesler
    Characterizing the uncertainty in near-infrared spectroscopic prediction of mixed-oxygenate concentrations in gasoline: sample-specific prediction intervals
    Analytical Chemistry, 70 (1998) 2972-2982; 70 (1998) 4877
  • K. Faber
    Notes on analytical figures of merit for nth-order data
    Analytical Letters, 31 (1998) 2269-2278
  • N.M. Faber
    Efficient computation of net analyte signal vector in inverse multivariate calibration models
    Analytical Chemistry, 70 (1998) 5108-5110
  • N.M. Faber
    Mean centering and computation of scalar net analyte signal in multivariate calibration
    Journal of Chemometrics, 12 (1998) 405-409


1997

  • K. Faber, A. Lorber and B.R. Kowalski
    Generalized rank annihilation method: standard errors in the estimated eigenvalues if the instrumental errors are heteroscedastic and correlated
    Journal of Chemometrics, 11 (1997) 95-109
  • K. Faber and B.R. Kowalski
    Propagation of measurement errors for the validation of predictions obtained by principal component regression and partial least squares
    Journal of Chemometrics, 11 (1997) 181-238
  • K. Faber and B.R. Kowalski
    Critical evaluation of two F-tests for selecting the number of factors in abstract factor analysis
    Analytica Chimica Acta, 337 (1997) 57-71
  • K. Faber and B.R. Kowalski
    Modification of Malinowski's F-test for abstract factor analysis applied to the Quail Roost II data sets
    Journal of Chemometrics, 11 (1997) 53-72
  • K. Faber and B.R. Kowalski
    Improved prediction error estimates for multivariate calibration by correcting for the measurement error in the reference values
    Applied Spectroscopy, 51 (1997) 660-665
  • K. Faber and B.R. Kowalski
    Improved estimation of the limit of detection in multivariate calibration
    Fresenius' Journal of Analytical Chemistry, 357 (1997) 789-795
  • K. Faber
    On solving generalized eigenvalue problems using Matlab
    Journal of Chemometrics, 11 (1997) 87-91
  • K. Faber, A. Lorber and B.R. Kowalski
    Comments on "Interrelationships between sensitivity and selectivity measures for spectroscopic analysis"
    Chemometrics and Intelligent Laboratory Systems, 38 (1997) 89-93
  • K. Faber, A. Lorber and B.R. Kowalski
    Analytical figures of merit for tensorial calibration
    Journal of Chemometrics, 11 (1997) 419-461
  • A. Lorber, K. Faber and B.R. Kowalski
    Net analyte signal calculation in multivariate calibration
    Analytical Chemistry, 69 (1997) 1620-1626
  • P.D. Wentzell, D.T. Andrews, D.C. Hamilton, K. Faber and B.R. Kowalski
    Maximum likelihood principal component analysis
    Journal of Chemometrics, 11 (1997) 339-366


1996

  • K. Faber and B.R. Kowalski
    Comment on a recent sensitivity analysis of radial base function and multi-layer feed-forward neural network models
    Chemometrics and Intelligent Laboratory Systems, 34 (1996) 293-297
  • K. Faber and B.R. Kowalski
    Prediction error in least squares regression: further critique on the deviation used in The Unscrambler
    Chemometrics and Intelligent Laboratory Systems, 34 (1996) 283-292
  • A. Lorber, K. Faber and B.R. Kowalski
    Local centering in multivariate calibration
    Journal of Chemometrics, 10 (1996) 215-220


1995

  • N.M. Faber, M.J. Meinders, P. Geladi, M. Sjöström, L.M.C. Buydens and G. Kateman
    Random error bias in principal component analysis. I: Derivation of theoretical predictions
    Analytica Chimica Acta, 304 (1995) 257-271
  • N.M. Faber, M.J. Meinders, P. Geladi, M. Sjöström, L.M.C. Buydens and G. Kateman
    Random error bias in principal component analysis. II: Application of theoretical predictions to multivariate problems
    Analytica Chimica Acta, 304 (1995) 273-283


1994

  • N.M. Faber, L.M.C. Buydens and G. Kateman
    Generalized rank annihilation method. I: derivation of eigenvalue problems
    Journal of Chemometrics, 8 (1994) 147-154
  • N.M. Faber, L.M.C. Buydens and G. Kateman
    Generalized rank annihilation method. II: bias and variance in the estimated eigenvalues
    Journal of Chemometrics, 8 (1994) 181-203
  • N.M. Faber, L.M.C. Buydens and G. Kateman
    Generalized rank annihilation method. III: practical implementation
    Journal of Chemometrics, 8 (1994) 273-285
  • N.M. Faber, L.M.C. Buydens and G. Kateman
    Aspects of pseudorank estimation methods based on the eigenvalues of principal component analysis of random matrices
    Chemometrics and Intelligent Laboratory Systems, 25 (1994) 203-226
  • N.M. Faber, L.M.C. Buydens and G. Kateman
    Aspects of pseudorank estimation methods based on an estimate of the size of the measurement error
    Analytica Chimica Acta, 296 (1994) 1-20


1993

  • N.M. Faber, L.M.C. Buydens and G. Kateman
    Standard errors in the eigenvalues of a cross-product matrix: theory and applications
    Journal of Chemometrics, 7 (1993) 495-526


1992

  • M.J.P. Gerritsen, N.M. Faber, M. van Rijn, B.G.M. Vandeginste and G. Kateman
    Realistic simulations of high-performance liquid chromatographic-ultraviolet data for the evaluation of multivariate techniques
    Chemometrics and Intelligent Laboratory Systems, 12 (1992) 257-268


1987

  • R.D. Groot, J.P. van der Eerden and N.M. Faber
    The direct correlation function in hard sphere fluids
    Journal of Chemical Physics, 87 (1987) 2263-2270
  • R.D. Groot, N.M. Faber and J.P. van der Eerden
    Hard sphere fluids near a hard wall and a hard cylinder
    Molecular Physics, 62 (1987) 861-874