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Home » Links and downloads » Papers » Maximum likelihood calibration

  • D.T. Andrews, L. Chen, P.D. Wentzell and D.C. Hamilton
    Comments on the relationship between principal components analysis and weighted linear regression for bivariate data sets
    Chemometrics and Intelligent Laboratory Systems, 34 (1996) 231-244
    Abstract; download (icon_pdf.gif=1.0 mB)
  • D.T. Andrews and P.D. Wentzell
    Applications of maximum likelihood principal component analysis: incomplete data sets and calibration transfer
    Analytica Chimica Acta, 350 (1997) 341-352
    Abstract; download (icon_pdf.gif=690 kB)
  • R. Bro, N.D. Sidiropoulos and A.K. Smilde
    Maximum likelihood fitting using ordinary least squares algorithms
    Journal of Chemometrics, 16 (2002) 387-400
    Abstract; request
  • C.D. Brown, L. Vega-Montoto and P.D. Wentzell
    Derivative preprocessing and optimal corrections for baseline drift in multivariate calibration
    Applied Spectroscopy, 54 (2000) 1055-1068
    Abstract; download (icon_pdf.gif=585 kB)
  • A.J. Burnham, J.F. MacGregor and R. Viveros
    A statistical framework for multivariate latent variable regression methods based on maximum likelihood
    Journal of Chemometrics, 13 (1999) 49-65
    Abstract
  • M.N. Leger and P.D. Wentzell
    Maximum likelihood principal components regression on wavelet-compressed data
    Applied Spectroscopy, 58 (2004) 855-862
    Abstract; download (icon_pdf.gif=235 kB)
  • M.N. Leger, L. Vega-Montoto and P.D. Wentzell
    Methods for systematic investigation of measurement error covariance matrices
    Chemometrics and Intelligent Laboratory Systems, 77 (2005) 181-205
    Abstract; download (icon_pdf.gif=5.8 mB)
  • M.N. Nounou, B.R. Bakshi, P.K. Goel and X. Shen
    Bayesian principal component analysis
    Journal of Chemometrics, 16 (2002) 576-595
    Abstract
  • M.S. Reis and P.M. Saraiva
    Integration of data uncertainty in linear regression and process optimization
    AIChE Journal, 51 (2005) 3007-3019
    Abstract; request
  • M.S. Reis and P.M. Saraiva
    Heteroscedastic latent variable modelling with applications to multivariate statistical process control
    Chemometrics and Intelligent Laboratory Systems, 80 (2006) 57-66
    Abstract; request
  • S.K. Schreyer, M. Bidinosti and P.D. Wentzell
    Application of maximum likelihood principal components regression to fluorescence emission spectra
    Applied Spectroscopy, 56 (2002) 789-796
    Abstract; download (icon_pdf.gif=873 kB)
  • M. Schuermans, I. Markovskya, P.D. Wentzell and S. Van Huffel
    On the equivalence between total least squares and maximum likelihood PCA
    Analytica Chimica Acta, 544 (2005) 254-267
    Abstract; download (icon_pdf.gif=296 kB)
  • L. Vega-Montoto and P.D. Wentzell
    Maximum likelihood parallel factor analysis (MLPARAFAC)
    Journal of Chemometrics, 17 (2003) 237-253
    Abstract; download (icon_pdf.gif=266 kB)
  • L. Vega-Montoto, H. Gu and P.D. Wentzell
    Mathematical improvements to maximum likelihood parallel factor analysis: theory and simulations
    Journal of Chemometrics, 19 (2005) 216-235
    Abstract; download (icon_pdf.gif=362 kB)
  • L. Vega-Montoto and P.D. Wentzell
    Mathematical improvements to maximum likelihood parallel factor analysis: experimental studies
    Journal of Chemometrics, 19 (2005) 236-252
    Abstract; download (icon_pdf.gif=562 kB)
  • L. Vega-Montoto and P.D. Wentzell
    Approaching the direct exponential curve resolution algorithm from a maximum likelihood perspective
    Analytica Chimica Acta, 556 (2006) 383-399
    Abstract; download (icon_pdf.gif=1.1 mB)
  • P.D. Wentzell, D.T. Andrews, D.C. Hamilton, N.M. Faber and B.R. Kowalski
    Maximum likelihood principal component analysis
    Journal of Chemometrics, 11 (1997) 339-366
    Abstract; download (icon_pdf.gif=334 kB)
  • P.D. Wentzell, D.T. Andrews and B.R. Kowalski
    Maximum likelihood multivariate calibration
    Analytical Chemistry, 69 (1997) 2299-2311
    Abstract; download (icon_pdf.gif=195 kB)
  • P.D. Wentzell and M.T. Lohnes
    Maximum likelihood principal component analysis with correlated measurement errors: theoretical and practical considerations
    Chemometrics and Intelligent Laboratory Systems, 45 (1999) 65-85
    Abstract; download (icon_pdf.gif=410 kB)