Chemometric Space Articles from NIR news
Volume 23 Issue 4 Pages 17–18 (2012)
doi: 10.1255/nirn.1310 Chemometric Space: An introduction
to Bayesian statistics, Part 2: learning from data Tom Fearn
Department of Statistical Science, University College London, Gower Street, London WC1E
6BT, UK
Volume 23 Issue 3 Pages 18–19 (2012)
doi: 10.1255/nirn.1303 An introduction to Bayesian statistics,
Part 1: Conditional probabilities and Bayes theorem Tom Fearn
Department of Statistical Science, University College London, Gower Street,
London WC1E 6BT, UK
Volume 23 Issue 2 Pages 19–20 (2012)
doi: 10.1255/nirn.1296 OSC and OPLS Tom
Fearn
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 23 Issue 1 Pages 20–21 (2012)
doi: 10.1255/nirn.1288 Do my data need to be normally
distributed? Tom Fearn
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 22 Issue 8 Pages 16–17 (2011)
doi: 10.1255/nirn.1279 Limitations of Mahalanobis and H
distances Tom Fearn
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 22 Issue 7 Pages 16–17 (2011)
doi: 10.1255/nirn.1273 Comparing classification success
rates Tom Fearn
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 22 Issue 6 Pages 12–14 (2011)
doi: 10.1255/nirn.1265 Improving accuracy by rejecting
outliers? Tom Fearn
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 22 Issue 5 Pages 19–20 (2011)
doi: 10.1255/nirn.1260 Functional boxplots Tom
Fearn
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 22 Issue 4 Pages 15–16 (2011)
doi: 10.1255/nirn.1252 Partial least squares regression
versus multiple linear regression Tom Fearn
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 22 Issue 3 Pages 22–23 (2011)
doi: 10.1255/nirn.1246 Principal component analysis and
classification Tom Fearn
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 22 Issue 2 Pages 17–20 (2011)
doi: 10.1255/nirn.1238 Cross-validation and nested data
structures Tom Fearn
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 22 Issue 1 Pages 18–19 (2011)
doi: 10.1255/nirn.1229 Multivariate curve resolution Tom Fearn
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 21 Issue 8 Pages 19–20 (2010)
doi: 10.1255/nirn.1218 Paired and two-sample t-tests Tom Fearn
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 21 Issue 6 Pages 16–16 (2010)
doi: 10.1255/nirn.1202 Chemometric Space: Small
correlations can be useful Tom Fearn
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 21 Issue 5 Pages 14–15 (2010)
doi: 10.1255/nirn.1194 Chemometric Space: Double cross-
validation Tom Fearn
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 21 Issue 4 Pages 11–12 (2010)
doi: 10.1255/nirn.1187 Optimal sampling schemes Tom Fearn
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 21 Issue 3 Pages 13–14 (2010)
doi: 10.1255/nirn.1181 Chemometric Space:
ANOVA—nested models and components of variance Tom Fearn
Department of Statistical Science, University College London, Gower Street,
London WC1E 6BT, UK
Volume 21 Issue 2 Pages 13–16 (2010)
doi: 10.1255/nirn.1175 Combining other predictors with NIR
spectra Tom Fearn
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 21 Issue 1 Pages 12–14 (2010)
doi: 10.1255/nirn.1167 Mahalanobis and Euclidean
distances Tom Fearn
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 20 Issue 8 Pages 16–16 (2009)
doi: 10.1255/nirn.1159 The importance of experimental
design Tom Fearn
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 20 Issue 7 Pages 24–25 (2009)
doi: 10.1255/nirn.1153 Comparing standard deviations
(continued) Tom Fearn
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 20 Issue 6 Pages 15–16 (2009)
doi: 10.1255/nirn.1146 The effect of spectral pre-treatments
on interpretation Tom Fearn
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 20 Issue 5 Pages 16–17 (2009)
doi: 10.1255/nirn.1139 Chemometric Space: Regression
statistics in discriminant analysis Tom Fearn
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 20 Issue 4 Pages 16–16 (2009)
doi: 10.1255/nirn.1132 Chemometric Space: Sensitivity and
specificity Tom Fearn
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 20 Issue 3 Pages 14–15 (2009)
doi: 10.1255/nirn.1125 Subtracting dimensions, part 3 Tom Fearn
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 20 Issue 2 Pages 15–16 (2009)
doi: 10.1255/nirn.1119 Subtracting dimensions, part 2 Tom Fearn
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 20 Issue 1 Pages 16–17 (2009)
doi: 10.1255/nirn.1113 Subtracting dimensions, part 1 Tom Fearn
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 19 Issue 8 Pages 17–17 (2008)
doi: 10.1255/nirn.1106 Cross-validation: how many should we
leave out? Tom Fearn
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 19 Issue 7 Pages 16–17 (2008)
doi: 10.1255/nirn.1098 The interaction between standard
normal variate and derivatives Tom Fearn
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
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 12–16 (2003)
doi: 10.1255/nirn.727 Getting rid of noise by smoothing Tom Fearn
Department of Statistical Science, University College London,Gower Street, London WC1E 6BT, UK
Volume 14 Issue 3 Pages 12–12 (2003)
doi: 10.1255/nirn.718 Calibrating for a cut-off: quantitative
or qualitative? Editorial Staff
Volume 14 Issue 2 Pages 6–7 (2003)
doi: 10.1255/nirn.704 On angles, distances and
correlations Tom Fearn
Department of Statistical Science, University College London,Gower Street, London WC1E 6BT, UK
Volume 14 Issue 1 Pages 14–14 (2003)
doi: 10.1255/nirn.701 Spreading the word Tom
Fearn
Department of Statistical Science, University College London,Gower Street, London WC1E 6BT, UK
Volume 13 Issue 6 Pages 12–14 (2002)
doi: 10.1255/nirn.689 Assessing calibrations: SEP, RPD, RER
and R2 Tom Fearn
Department of Statistical Science, University College London,Gower Street, London WC1E 6BT, UK
Volume 13 Issue 5 Pages 13–14 (2002)
doi: 10.1255/nirn.682 To average or not to average Tom Fearn
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 13 Issue 4 Pages 20–21 (2002)
doi: 10.1255/nirn.676 How reliable is an RMSEP from a
validation set? Tom Fearn
Department of Statistical Science, University College London, Gower Street, London Wc1E 6BT, UK
Volume 13 Issue 3 Pages 4–5 (2002)
doi: 10.1255/nirn.662 Randomisation Tom
Fearn
Department of Statistical Science, University College London, Gower Street, London, WC1E 6BT, UK
Volume 13 Issue 2 Pages 15–15 (2002)
doi: 10.1255/nirn.660 O2-PLS Tom
Fearn
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 13 Issue 1 Pages 7–9 (2002)
doi: 10.1255/nirn.645 Models, predictions and overfitting Tom Fearn
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 12 Issue 6 Pages 14–15 (2001)
doi: 10.1255/nirn.642 Linearity Tom
Fearn
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 12 Issue 5 Pages 10–12 (2001)
doi: 10.1255/nirn.631 Two-dimensional correlation
spectroscopy Tom Fearn
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 12 Issue 4 Pages 9–13 (2001)
doi: 10.1255/nirn.624 Covariances Tom
Fearn
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 12 Issue 3 Pages 10–11 (2001)
doi: 10.1255/nirn.614 Local or global? Tom
Fearn
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 12 Issue 2 Pages 10–12 (2001)
doi: 10.1255/nirn.608 Hirshfeld award lecture.
Chemometrics for NIR spectroscopy: past present and future Tom Fearn
Department of Statistical Science, University College London, Gower Street,
London WC1E 6BT, UK
Volume 12 Issue 1 Pages 8–9 (2001)
doi: 10.1255/nirn.597 Taguchi methods Tom
Fearn
Volume 11 Issue 6 Pages 14–15 (2000)
doi: 10.1255/nirn.593 Savitzky-Golay filters Tom
Fearn
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 11 Issue 5 Pages 5–6 (2000)
doi: 10.1255/nirn.580 The jackknife Tom
Fearn
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 11 Issue 4 Pages 14–15 (2000)
doi: 10.1255/nirn.578 When in doubt, take logs Tom Fearn
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 11 Issue 3 Pages 14–15 (2000)
doi: 10.1255/nirn.569 Plotting to assess normality Tom Fearn
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 11 Issue 2 Pages 4–5 (2000)
doi: 10.1255/nirn.557 Logistic regression Tom
Fearn
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 11 Issue 1 Pages 14–15 (2000)
doi: 10.1255/nirn.555 r2 and
R2 Tom Fearn
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 10 Issue 6 Pages 8–9 (1999)
doi: 10.1255/nirn.544 Components of error and adjusting
for attenuation, or how to improve your r2 without really trying Tom Fearn
Department of Statistical Science, University College London, Gower Street,
London WC1E 6BT, UK
Volume 10 Issue 5 Pages 8–9 (1999)
doi: 10.1255/nirn.535 Hidden variables and partial
correlations Tom Fearn
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 10 Issue 4 Pages 13–14 (1999)
doi: 10.1255/nirn.531 More samples or more replicate
analyses? Tom Fearn
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 10 Issue 3 Pages 10–11 (1999)
doi: 10.1255/nirn.519 A look at some standard pre-
treatments for spectra Tom Fearn
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 10 Issue 2 Pages 9–9 (1999)
doi: 10.1255/nirn.511 Orthogonal signal correction Tom Fearn
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 10 Issue 1 Pages 7–13 (1999)
doi: 10.1255/nirn.502 Least squares Tom
Fearn
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 9 Issue 1 Pages 4–4 (1998)
doi: 10.1255/nirn.491 Bias Tom
Fearn
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 9 Issue 1 Pages 10–12 (1998)
doi: 10.1255/nirn.485 Wavelets Tom
Fearn
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 9 Issue 1 Pages 9–13 (1998)
doi: 10.1255/nirn.477 Which way round? Classical and
inverse calibration Tom Fearn
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 9 Issue 1 Pages 6–7 (1998)
doi: 10.1255/nirn.468 Which way round? A tale of two
regressions Tom Fearn
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 9 Issue 1 Pages 8–9 (1998)
doi: 10.1255/nirn.462 Qualitative analysis III Tom
Fearn
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 9 Issue 1 Pages 3–4 (1998)
doi: 10.1255/nirn.451 Qualitative analysis II Tom
Fearn
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 8 Issue 1 Pages 4–5 (1997)
doi: 10.1255/nirn.443 Qualitative analysis I Tom
Fearn
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 8 Issue 1 Pages 7–8 (1997)
doi: 10.1255/nirn.436 Calibration transfer without standards Tom Fearn
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 8 Issue 1 Pages 3–0 (1997)
doi: 10.1255/nirn.422 On loadings and loading weights Tom Fearn
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 8 Issue 1 Pages 8–9 (1997)
doi: 10.1255/nirn.414 Selecting wavelengths using genetic
algorithms Tom Fearn
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 8 Issue 1 Pages 4–9 (1997)
doi: 10.1255/nirn.404 Wavelength selection for multiple
regression Tom Fearn
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 8 Issue 1 Pages 7–8 (1997)
doi: 10.1255/nirn.395 Validation Tom
Fearn
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 7 Issue 1 Pages 7–8 (1996)
doi: 10.1255/nirn.387 X = TP + E Tom
Fearn
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 7 Issue 1 Pages 5–6 (1996)
doi: 10.1255/nirn.378 Comparing standard deviations Tom Fearn
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 7 Issue 1 Pages 3–4 (1996)
doi: 10.1255/nirn.368 Monitoring calbirations Tom
Fearn
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 7 Issue 1 Pages 3–4 (1996)
doi: 10.1255/nirn.357 Why principal components programs
never agree Tom Fearn
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 7 Issue 1 Pages 3–3 (1996)
doi: 10.1255/nirn.347 How accurate can you get? Tom Fearn
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 7 Issue 1 Pages 3–5 (1996)
doi: 10.1255/nirn.338 The value of plots Tom
Fearn
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 6 Issue 1 Pages 3–5 (1995)
doi: 10.1255/nirn.328 Splitting of calibration data into linear
subgroups Tormod Næs and Tomas Isaksson
MATFORSK, Oslovegen 1, N-1430 Ås, Norway
Volume 6 Issue 1 Pages 15–16 (1995)
doi: 10.1255/nirn.327 Extending PCR to data sets with more
spectra than reference values Tormod Næs and Tomas Isaksson
MATFORSK, Osloveien 1, N-1430 Ås, Norway
Volume 6 Issue 1 Pages 4–5 (1995)
doi: 10.1255/nirn.313 Adjusting for non-linearities in
calibration using principal components Tormod Næs and Tomas Isaksson
MATFORSK, Oslovegen 1, N-1430 Å, Norway
Volume 6 Issue 1 Pages 2–3 (1995)
doi: 10.1255/nirn.301 Neural networks as calibration methods Inge Helland and Knut Kvaal
MATFORSK—Norwegian Food Research Institute, Ås, Norway
Volume 6 Issue 1 Pages 8–13 (1995)
doi: 10.1255/nirn.295 Updating PLS calibration models Kristian Helland
SINTEF Applied Chemistry, 7034 Trondheim, Norway
Volume 6 Issue 1 Pages 13–14 (1995)
doi: 10.1255/nirn.288 Selection of samples for calibration
using spectral information Tormod Næs and Tomas Isaksson
MATFORSK, Oslovegen 1, N-1430 Ås, Norway
Volume 5 Issue 1 Pages 16–17 (1994)
doi: 10.1255/nirn.281 Selection of samples for calibration Tormod Næs and Tomas Isaksson
MATFORSK, Oslovegen 1, N-1430 Ås, Norway
Volume 5 Issue 1 Pages 8–9 (1994)
doi: 10.1255/nirn.269 Some modifications of locally
weighted regression (LWR) Tormod Næs and Tomas Isaksson
MATFORSK, Oslovegen 1, N-1430 Ås, Norway
Volume 5 Issue 1 Pages 7–8 (1994)
doi: 10.1255/nirn.258 The idea behind and algorithm for
locally weighted regression (LWR) Tormod Næs and Tomas Isaksson
MATFORSK, Oslovegen 1, N-1430 Ås, Norway
Volume 5 Issue 1 Pages 13–14 (1994)
doi: 10.1255/nirn.252 Some aspects of scatter-correction in
calibration. Part II Tormod Næs and Tomas Isaksson
MATFORSK, Oslovegen 1, N-1430 Ås, Norway
Volume 5 Issue 1 Pages 4–15 (1994)
doi: 10.1255/nirn.237 Some aspects of scatter-correction in
calibration. Part I Tormod Næs and Tomas Isaksson
MATFORSK, Oslovegen 1, 1430 Ås, 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 Næ and Tomas Isaksson
MATFORSK, Oslovegen 1, 1430 Ås, Norway
Volume 4 Issue 1 Pages 3–5 (1993)
doi: 10.1255/nirn.216 Sources of non-linearity in near
infrared methods Charles E. Miller
DuPont, Packaging and Industrial Polymers Research, PO Box 1089, Building 10, Orange, Texas 77631-1089,
USA
Volume 4 Issue 1 Pages 4–5 (1993)
doi: 10.1255/nirn.206 Discriminant analysis Tom
Fearn
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 4 Issue 1 Pages 14–15 (1993)
doi: 10.1255/nirn.203 Standardisation: What is it and how is it
done? Part 2 Thomas Dean
Center for Process Analytical Chemistry, Laboratory for Chemometrics, Department of Chemistry, University of Washington,
BG-10, Seattle, WA 98195, USA
Tomas Isaksson
MATFORSK, Norwegian Food Research Institute, Oslovegen 1, N-1430 Ås, Norway
Volume 4 Issue 1 Pages 14–15 (1993)
doi: 10.1255/nirn.193 Non-linearity problems in NIR
spectroscopy Tormod Næs and Tomas Isaksson
MATFORSK, Oslovegen 1, 1430 Ås, 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 Isaakson
University of Washington, USA
Volume 4 Issue 1 Pages 8–9 (1993)
doi: 10.1255/nirn.166 Cross-validation and leverage-
correction revisited Tormod Næs and Marit Risberg Ellekjaer
MATFORSK, Oslovegen 1, N-1430 Ås, Norway
Volume 3 Issue 1 Pages 6–7 (1992)
doi: 10.1255/nirn.155 The relation between SEP and
confidence intervals Tormod Næs and Marit Risberg Ellekjaer
MATFORSK, Oslovegen 1, N-1430 Ås, Norway
Volume 3 Issue 1 Pages 8–9 (1992)
doi: 10.1255/nirn.147 How can outliers be detected in NIR
spectroscopy? Tormod Næsa and Tomas Isakssonb
MATFORSK, Oslovegen 1, N-1430 Ås;
Norway
bDepartment of Chemistry, University of Washington, Seattle, WA 98195, USA
Volume 3 Issue 1 Pages 12–13 (1992)
doi: 10.1255/nirn.136 The importance of outlier detection in
NIR spectroscopy Tormod Næs and Tomas Isaksson
MATFORSK—Norwegian Food Research Institute, Ås, Norway
Volume 3 Issue 1 Pages 7–9 (1992)
doi: 10.1255/nirn.124 Interpreting principal components in
NIR spectroscopy Tormod Næs and Tomas Isaksson
MATFORSK—Norwegian Food Research Institute, Ås, Norway
Volume 3 Issue 1 Pages 10–11 (1992)
doi: 10.1255/nirn.115 Data compression by Fourier
transforms Fred McClure
North Carolina State University, Box 7625, Raleigh, NC 27695, USA
Tony Davies
Norwich NIR Consultancy, 75
Intwood Road, Cringleford, Norwich NR4 6AA, UK
Volume 3 Issue 1 Pages 10–11 (1992)
doi: 10.1255/nirn.104 Data compression by PLS/PCR Tormod Næs and Tomas Isaksson
MATFORSK—Norwegian Food Research Institute, Ås, Norway
Volume 2 Issue 1 Pages 10–11 (1991)
doi: 10.1255/nirn.94 Multicollinearity and the need for
data reduction Tormod Næs and Tomas Isaksson
MATFORSK—Norwegian Food Research Institute, Ås, Norway
Volume 2 Issue 1 Pages 10–11 (1991)
doi: 10.1255/nirn.82 Fitting, prediction testing, cross-
validation or leverage correction? Tormod Næs and Tomas Isaksson
MATFORSK, Oslovegen 1, N-1430 Ås, Norway
Volume 2 Issue 1 Pages 16–16 (1991)
doi: 10.1255/nirn.71 SEP or RMSEP, which is best? Tormod Næs and Tomas Isaksson
MATFORSK, Oslovegen 1, N-1430 Ås, Norway
Volume 2 Issue 1 Pages 16–0 (1991)
doi: 10.1255/nirn.60 How should SEL be defined? Tormod Næs and Tomas Isaksson
MATFORSK, Norwegian Food Research Institute, Oslovegen 1, N-1430 Ås, Norway
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