Chemometric Space Articles from NIR news
Volume 19 Issue 6 Pages 15–16 (2008)
doi: 10.1255/nirn.1093 Interpreting coefficient vectors Tom
Fearn Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 19 Issue 5 Pages 19–19 (2008)
doi: 10.1255/nirn.1087 Chemometric Space: Bias and variance Tom
Fearn Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 19 Issue 4 Pages 15–16 (2008)
doi: 10.1255/nirn.1080 Interpreting z- and t-statistics Tom
Fearn Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 19 Issue 3 Pages 13–14 (2008)
doi: 10.1255/nirn.1073 Independent component analysis Tom
Fearn Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 19 Issue 2 Pages 16–17 (2008)
doi: 10.1255/nirn.1068 Assigning signs to principal components Tom
Fearn Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 19 Issue 1 Pages 16–17 (2008)
doi: 10.1255/nirn.1061 Design of experiments 6: Evolutionary Operation (EVOP) Tom Fearn Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 18 Issue 8 Pages 16–17 (2007)
doi: 10.1255/nirn.1055 Flat calibration sets: at what price? Tom
Fearn Department of Statistical Sciences, University College London, Gower Street, London WC1E 6BT, UK
Volume 18 Issue 7 Pages 14–15 (2007)
doi: 10.1255/nirn.1048 Design of experiments 5: response surface designs Tom Fearn Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 18 Issue 6 Pages 12–13 (2007)
doi: 10.1255/nirn.1040 On SIMCA and measuring distances Tom
Fearn Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 18 Issue 5 Pages 14–15 (2007)
doi: 10.1255/nirn.1035 Design of experiments 4: fractional factorial designs Tom Fearn Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 18 Issue 4 Pages 18–18 (2007)
doi: 10.1255/nirn.1026 Design of experiments 3: 2k factorial
designs Tom Fearn Department of Statistical Sciece, University College London, Gower Street, London WC1E 6BT, UK
Volume 18 Issue 3 Pages 14–15 (2007)
doi: 10.1255/nirn.1020 Design of experiments 2: factorial designs Tom
Fearn Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 18 Issue 2 Pages 13–13 (2007)
doi: 10.1255/nirn.1013 Design of experiments 1: Introduction Tom
Fearn Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 18 Issue 1 Pages 11–12 (2007)
doi: 10.1255/nirn.1004 Boosting Tom Fearn Department of
Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 17 Issue 8 Pages 15–15 (2006)
doi: 10.1255/nirn.938 Bagging Tom Fearn Department of Statistical
Scierce, University College London, Gower Street, London WC1E 6BT, UK
Volume 17 Issue 7 Pages 12–12 (2006)
doi: 10.1255/nirn.925 Chemometrics and NIR 1990-2020 Tom
Fearn Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 17 Issue 6 Pages 13–14 (2006)
doi: 10.1255/nirn.917 Classification and regression trees (CART) Tom
Fearn Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 17 Issue 5 Pages 15–20 (2006)
doi: 10.1255/nirn.908 Diagnostics 3: leave-one-out residuals and leverage correction Tom Fearn Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 17 Issue 4 Pages 15–16 (2006)
doi: 10.1255/nirn.900 Diagnostics 2: leverage and the hat matrix Tom
Fearn Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 17 Issue 3 Pages 5–5 (2006)
doi: 10.1255/nirn.887 Diagnostics 1: plotting y-residuals Tom Fearn
Department of Statistical Science, University College London, Gower Stree, London WC1E 6BT, UK
Volume 17 Issue 2 Pages 7–7 (2006)
doi: 10.1255/nirn.879 Plotting observed versus fitted reference values Tom
Fearn Department of Statistical Science, University College London, Gower Stree, London WC1E 6BT, UK
Volume 17 Issue 1 Pages 15–15 (2006)
doi: 10.1255/nirn.875 Latin squares Tom Fearn Department of
Statistical Science, University College London, Gower Stree, London WC1E 6BT UK
Volume 16 Issue 8 Pages 6–7 (2005)
doi: 10.1255/nirn.863 Decision boundaries Tom Fearn Department of
Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 16 Issue 7 Pages 17–19 (2005)
doi: 10.1255/nirn.856 Chemometrics: an enabling tool for NIR Tom
Fearn Department of Statistical Science University College London, Gower Street, London WC1E 6BT, UK
Volume 16 Issue 6 Pages 5–8 (2005)
doi: 10.1255/nirn.842 Degrees of Freedom Tom Fearn Department of
Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 16 Issue 5 Pages 7–8 (2005)
doi: 10.1255/nirn.834 Calculating standard deviations Tom
Fearn Deartment of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 16 Issue 4 Pages 3–5 (2005)
doi: 10.1255/nirn.824 Extended multiplicative scatter correction Tom
Fearn Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 16 Issue 3 Pages 4–6 (2005)
doi: 10.1255/nirn.815 Support vector machines V: exploiting inner products Tom Fearn Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 16 Issue 2 Pages 11–12 (2005)
doi: 10.1255/nirn.811 Support vector machines IV: penalised regression Tom Fearn Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 16 Issue 1 Pages 8–9 (2005)
doi: 10.1255/nirn.800 Support vector machines III: non-linear classifiers Tom
Fearn Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 15 Issue 6 Pages 8–9 (2004)
doi: 10.1255/nirn.792 Support vector machines II: The support vector classifier with
overlapping groups Tom Fearn Department of Statistical Science, University College London, Gower Stree, London WC1E 6BT, UK
Volume 15 Issue 5 Pages 14–15 (2004)
doi: 10.1255/nirn.788 Support vector machines I: The support vector classifier Tom Fearn Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 15 Issue 4 Pages 14–15 (2004)
doi: 10.1255/nirn.779 Towards a standard terminology? Tom
Fearn Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 15 Issue 3 Pages 12–13 (2004)
doi: 10.1255/nirn.770 Multivariate quality control Tom
Fearn Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 15 Issue 2 Pages 12–13 (2004)
doi: 10.1255/nirn.760 Error rates in classification and the effect of unequal group
sizes Tom Fearn Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 15 Issue 1 Pages 14–15 (2004)
doi: 10.1255/nirn.753 Fitting equations with more than one intercept Tom
Fearn Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 14 Issue 6 Pages 9–11 (2003)
doi: 10.1255/nirn.742 Are two pretreatments better than one? Tom
Fearn Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 14 Issue 5 Pages 8–9 (2003)
doi: 10.1255/nirn.734 Interpreting loadings and coefficient vectors in PCR and PLS Tom Fearn Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 14 Issue 4 Pages 12–0 (2003)
doi: 10.1255/nirn.727 Getting rid of noise by smoothing Tom Fearn
University College London, UK
Volume 14 Issue 3 Pages 12–0 (2003)
doi: 10.1255/nirn.718 Calibrating for a cut-off: quantitative or qualitative? Tom
Fearn University College London, UK
Volume 14 Issue 2 Pages 6–0 (2003)
doi: 10.1255/nirn.704 On angles, distances and correlations Tom Fearn
University College London, UK
Volume 14 Issue 1 Pages 14–0 (2003)
doi: 10.1255/nirn.701 Spreading the word Tom Fearn University
College London, UK
Volume 13 Issue 6 Pages 12–0 (2002)
doi: 10.1255/nirn.689 Assessing calibrations: SEP,RPD, RER and R2 Tom
Fearn University College London, UK
Volume 13 Issue 5 Pages 13–0 (2002)
doi: 10.1255/nirn.682 To average or not to average Tom Fearn
University College London, UK
Volume 13 Issue 4 Pages 20–0 (2002)
doi: 10.1255/nirn.676 How reliable is an RMSEP from a validation set? Tom
Fearn University College London, UK
Volume 13 Issue 3 Pages 4–0 (2002)
doi: 10.1255/nirn.662 Randomisation Tom Fearn University College
London, UK
Volume 13 Issue 2 Pages 15–0 (2002)
doi: 10.1255/nirn.660 O2-PLS Tom Fearn University College London,
UK
Volume 13 Issue 1 Pages 7–0 (2002)
doi: 10.1255/nirn.645 Models, predictions and overfitting Tom Fearn
University College London, UK
Volume 12 Issue 6 Pages 14–0 (2001)
doi: 10.1255/nirn.642 Linearity Tom Fearn University College London,
UK
Volume 12 Issue 5 Pages 10–0 (2001)
doi: 10.1255/nirn.631 Two-dimensional correlation spectroscopy Tom
Fearn University College London, UK
Volume 12 Issue 4 Pages 9–0 (2001)
doi: 10.1255/nirn.624 Covariances Tom Fearn University College
London, UK
Volume 12 Issue 3 Pages 10–0 (2001)
doi: 10.1255/nirn.614 Local or global? Tom Fearn University College
London, UK
Volume 12 Issue 2 Pages 10–0 (2001)
doi: 10.1255/nirn.608 Hirshfeld award lecture. Chemometrics for NIR spectroscopy:
past present and future Tom Fearn University College London, UK
Volume 12 Issue 1 Pages 8–0 (2001)
doi: 10.1255/nirn.597 Taguchi methods Tom Fearn University College
London, UK
Volume 11 Issue 6 Pages 14–0 (2000)
doi: 10.1255/nirn.593 Savitzky-Golay filters Tom Fearn University
College London, UK
Volume 11 Issue 5 Pages 5–0 (2000)
doi: 10.1255/nirn.580 The jackknife Tom Fearn University College
London, UK
Volume 11 Issue 4 Pages 14–0 (2000)
doi: 10.1255/nirn.578 When in doubt, take logs Tom Fearn University
College London, UK
Volume 11 Issue 3 Pages 14–0 (2000)
doi: 10.1255/nirn.569 Plotting to assess normality Tom Fearn
University College London, UK
Volume 11 Issue 2 Pages 4–0 (2000)
doi: 10.1255/nirn.557 Logistic regression Tom Fearn University
College London, UK
Volume 11 Issue 1 Pages 14–0 (2000)
doi: 10.1255/nirn.555 r2 and R2 Tom Fearn University College
London, UK
Volume 10 Issue 6 Pages 8–0 (1999)
doi: 10.1255/nirn.544 Components of error and adjusting for attenuation, or how to
improve your r2 without really trying Tom Fearn University College London, UK
Volume 10 Issue 5 Pages 8–0 (1999)
doi: 10.1255/nirn.535 Hidden variables and partial correlations Tom
Fearn University College London, UK
Volume 10 Issue 4 Pages 13–0 (1999)
doi: 10.1255/nirn.531 More samples or more replicate analyses? Tom
Fearn University College London, UK
Volume 10 Issue 3 Pages 10–0 (1999)
doi: 10.1255/nirn.519 A look at some standard pre-treatments for spectra Tom Fearn University College London, UK
Volume 10 Issue 2 Pages 9–0 (1999)
doi: 10.1255/nirn.511 Orthogonal signal correction Tom
Fearn University College London, UK
Volume 10 Issue 1 Pages 7–0 (1999)
doi: 10.1255/nirn.502 Least squares Tom Fearn University College
London, UK
Volume 9 Issue 1 Pages 4–0 (1998)
doi: 10.1255/nirn.491 Bias Tom Fearn University College London,
UK
Volume 9 Issue 1 Pages 10–0 (1998)
doi: 10.1255/nirn.485 Wavelets Tom Fearn University College
London, UK
Volume 9 Issue 1 Pages 9–0 (1998)
doi: 10.1255/nirn.477 Which way round? Classical and inverse calibration Tom
Fearn University College London, UK
Volume 9 Issue 1 Pages 6–0 (1998)
doi: 10.1255/nirn.468 Which way round? A tale of two regressions Tom
Fearn University College London, UK
Volume 9 Issue 1 Pages 8–0 (1998)
doi: 10.1255/nirn.462 Qualitative analysis III Tom Fearn University
College London, UK
Volume 9 Issue 1 Pages 3–0 (1998)
doi: 10.1255/nirn.451 Qualitative analysis II Tom Fearn University
College London, UK
Volume 8 Issue 1 Pages 4–0 (1997)
doi: 10.1255/nirn.443 Qualitative analysis I Tom Fearn University
College London, UK
Volume 8 Issue 1 Pages 7–0 (1997)
doi: 10.1255/nirn.436 Calibration transfer without standards Tom
Fearn University College London, UK
Volume 8 Issue 1 Pages 3–0 (1997)
doi: 10.1255/nirn.422 On loadings and loading weights Tom
Fearn University College London, UK
Volume 8 Issue 1 Pages 8–0 (1997)
doi: 10.1255/nirn.414 Selecting wavelengths using genetic algorithms Tom
Fearn University College London, UK
Volume 8 Issue 1 Pages 4–0 (1997)
doi: 10.1255/nirn.404 Wavelength selection for multiple regression Tom
Fearn University College London, UK
Volume 8 Issue 1 Pages 7–0 (1997)
doi: 10.1255/nirn.395 Validation Tom Fearn University College
London, UK
Volume 7 Issue 1 Pages 7–0 (1996)
doi: 10.1255/nirn.387 X = TP + E Tom Fearn University College
London, UK
Volume 7 Issue 1 Pages 5–0 (1996)
doi: 10.1255/nirn.378 Comparing standard deviations Tom Fearn
University College London, UK
Volume 7 Issue 1 Pages 3–0 (1996)
doi: 10.1255/nirn.368 Monitoring calbirations Tom Fearn University
College London, UK
Volume 7 Issue 1 Pages 3–0 (1996)
doi: 10.1255/nirn.357 Why principal components programs never agree Tom
Fearn University College London, UK
Volume 7 Issue 1 Pages 3–0 (1996)
doi: 10.1255/nirn.347 How accurate can you get? Tom Fearn
University College London, UK
Volume 7 Issue 1 Pages 3–0 (1996)
doi: 10.1255/nirn.338 The value of plots Tom Fearn University College
London, UK
Volume 6 Issue 1 Pages 3–0 (1995)
doi: 10.1255/nirn.328 Splitting of calibration data into linear subgroups Tormod
Nęs and Tomas Isaksson MATFORSK, Norway
Volume 6 Issue 1 Pages 15–0 (1995)
doi: 10.1255/nirn.327 Extending PCR to data sets with more spectra than reference
values Tormod Nęs and Tomas Isaksson MATFORSK, Norway
Volume 6 Issue 1 Pages 4–0 (1995)
doi: 10.1255/nirn.313 Adjusting for non-linearities in calibration using principal
components Tormod Nęs and Tomas Isaksson MATFORSK, Norway
Volume 6 Issue 1 Pages 2–0 (1995)
doi: 10.1255/nirn.301 Neural networks as calibration methods Inge Helland and
Knut Kvaal MATFORSK, Norway
Volume 6 Issue 1 Pages 8–0 (1995)
doi: 10.1255/nirn.295 Updating PLS calibration models Kristian
Helland SINTEF Applied Chemistry, Norway
Volume 6 Issue 1 Pages 13–0 (1995)
doi: 10.1255/nirn.288 Selection of samples for calibration using spectral information Tormod Nęs and Tomas Isaksson MATFORSK, Norway
Volume 5 Issue 1 Pages 16–0 (1994)
doi: 10.1255/nirn.281 Selection of samples for calibration Tormod Nęs and
Tomas Isaksson MATFORSK, Norway
Volume 5 Issue 1 Pages 8–0 (1994)
doi: 10.1255/nirn.269 Some modifications of locally weighted regression (LWR) Tormod Nęs and Tomas Isaksson MATFORSK, Norway
Volume 5 Issue 1 Pages 7–0 (1994)
doi: 10.1255/nirn.258 The idea behind and algorithm for locally weighted regression
(LWR) Tormod Nęs and Tomas Isaksson MATFORSK, Norway
Volume 5 Issue 1 Pages 13–0 (1994)
doi: 10.1255/nirn.252 Some aspects of scatter-correction in calibration. Part II Tormod Nęs and Tomas Isaksson MATFORSK, Norway
Volume 5 Issue 1 Pages 4–0 (1994)
doi: 10.1255/nirn.237 Some aspects of scatter-correction in calibration. Part I Tormod Nęs and Tomas Isaksson MATFORSK, Norway
Volume 5 Issue 1 Pages 4–0 (1994)
doi: 10.1255/nirn.227 Different strategies for handling non-linearity problems in NIR
calibration Tormod Nęs and Tomas Isaksson MATFORSK, Norway
Volume 4 Issue 1 Pages 3–0 (1993)
doi: 10.1255/nirn.216 Sources of non-linearity in near infrared methods Charles E.
Miller DuPont , USA
Volume 4 Issue 1 Pages 4–0 (1993)
doi: 10.1255/nirn.206 Discriminant analysis Tom Fearn University College
London, UK
Volume 4 Issue 1 Pages 14–0 (1993)
doi: 10.1255/nirn.203 Standardisation: What is it and how is it done? Part 2 Thomas Dean and Tomas Isakkson University of Washington and MATFORSK, Norway
Volume 4 Issue 1 Pages 14–0 (1993)
doi: 10.1255/nirn.193 Non-linearity problems in NIR spectroscopy Tormod Nęs
and Tomas Isaksson MATFORSK, Norway
Volume 4 Issue 1 Pages 8–0 (1993)
doi: 10.1255/nirn.177 Standardisation: What is it and how is it done? Part 1 Thomas Dean & Tomas Isakkson University of Washington, USA
Volume 4 Issue 1 Pages 8–0 (1993)
doi: 10.1255/nirn.166 Cross-validation and leverage-correction revisited Tormod
Nęs and Marit Risberg Ellekjaer MATFORSK, Norway
Volume 3 Issue 1 Pages 6–0 (1992)
doi: 10.1255/nirn.155 The relation between SEP and confidence intervals Tormod
Nęs and Marit Risberg Ellekjaer MATFORSK, Norway
Volume 3 Issue 1 Pages 8–0 (1992)
doi: 10.1255/nirn.147 How can outliers be detected in NIR spectroscopy? Tormod
Nęs and Tomas Isaksson MATFORSK, Norway
Volume 3 Issue 1 Pages 12–0 (1992)
doi: 10.1255/nirn.136 The importance of outlier detection in NIR spectroscopy Tormod Nęs and Tomas Isaksson MATFORSK, Norway
Volume 3 Issue 1 Pages 7–0 (1992)
doi: 10.1255/nirn.124 Interpreting principal components in NIR spectroscopy Tormod Nęs and Tomas Isaksson MATFORSK, Norway
Volume 3 Issue 1 Pages 10–0 (1992)
doi: 10.1255/nirn.115 Data compression by Fourier transforms Fred McClure and
Tony Davies North Carolina State Univ. and Tony Davies Norwich NIR Consultancy, UK
Volume 3 Issue 1 Pages 10–0 (1992)
doi: 10.1255/nirn.104 Data compression by PLS/PCR Tormod Nęs and Tomas
Isaksson MATFORSK, Norway
Volume 2 Issue 1 Pages 10–0 (1991)
doi: 10.1255/nirn.94 Multicollinearity and the need for data reduction Tormod
Nęs and Tomas Isaksson MATFORSK, Norway
Volume 2 Issue 1 Pages 10–0 (1991)
doi: 10.1255/nirn.82 Fitting, prediction testing, cross-validation or leverage correction? Tormod Nęs and Tomas Isaksson MATFORSK, Norway
Volume 2 Issue 1 Pages 16–0 (1991)
doi: 10.1255/nirn.71 SEP or RMSEP, which is best? Tormod Nęs and Tomas
Isaksson MATFORSK, Norway
Volume 2 Issue 1 Pages 16–0 (1991)
doi: 10.1255/nirn.60 How should SEL be defined? Tormod Nęs and Tomas
Isaksson MATFORSK, Norway
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