NIR news
Current Issue:
Vol. 24 No. 4 (2013)
Aims and Scope
NIR news is the official newsletter of the International Council for Near Infrared Spectroscopy. It informs, educates and keeps you up-to-date with developments and conferences throughout the world on Near Infrared Spectroscopy and technology. NIR news is published eight times a year. A team of Regional Editors in Australia, Europe, Japan and North America helps to ensure that NIR news has an international outlook, which is supplemented with news of NIR groups in different countries.
Regular features
- Chemometric Space—all you need to know about chemometrics, written by Tom Fearn.
- Feature articles are published in each issue on topics of current or general interest to those working with NIR.
- References keep you aware of research papers found in a multitude of journals; around 6500 have been published (only available in print edition).
Earlier features
- The Forum, is the subscribers' "voice" concerning articles which have appeared in NIR news or current topics from conferences.
- The Pharmaceutical Validation Column discusses issues related to validation of NIR methods.
- Speaking Theoretically ... discusses diffuse reflection theory.
- Imaging Column an occasional column looking at the technology and applications of NIR imaging.
Journal Page:
Pages 12–25
doi: 10.1255/nirn.1369
Detecting plant diseases using
visible/near infrared spectroscopy
N. Abu-Khalaf* and M. Salman
Technical and Applied Research Center (TARC), Palestine Technical University–Kadoorie (PTUK), PO Box 7, Tulkarm, Palestine. E-mail: nawafu@hotmail.com
Technical and Applied Research Center (TARC), Palestine Technical University–Kadoorie (PTUK), PO Box 7, Tulkarm, Palestine. E-mail: nawafu@hotmail.com
Pages 14–19
doi: 10.1255/nirn.1370
A glimpse at NIR-2013
Veronique Bellon-Maurel
NIR-2013 Chair
NIR-2013 Chair
Pages 20–20
doi: 10.1255/nirn.1371
The ICNIRS page
Pierre Dardenne
Chairman, ICNIRS
Chairman, ICNIRS
Pages 21–22
doi: 10.1255/nirn.1372
The 28th Japanese NIR Forum
Mui Sirinnapa Saranwong
Pages 23–25
doi: 10.1255/nirn.1373
Myth: Process near infrared calibration spectra and reference samples can always be made to match properly
Column Editors: Kim H. Esbensen,a
Paul Geladib and Anders Larsenc
aGeological Survey of Denmark and Greenland (GEUS), Denmark
bSwedish University of Agricultural Sciences, Umeå, Sweden
cQ-Interline, Denmark
aGeological Survey of Denmark and Greenland (GEUS), Denmark
bSwedish University of Agricultural Sciences, Umeå, Sweden
cQ-Interline, Denmark
Pages 26–27
doi: 10.1255/nirn.1374
An introduction to Bayesian statistics, Part 5: Markov chain Monte Carlo
Tom Fearn
Department of Statistical Science, University College London, London WC1E 6BT, UK
Department of Statistical Science, University College London, London WC1E 6BT, UK
Pages 3–19
doi: 10.1255/nirn.1366
News
Editorial staff
Pages 4–8
doi: 10.1255/nirn.1367
Exploring sampling for near infrared spectroscopy
Phil Williams
PDK Projects, Inc., Nanaimo, BC, Canada
PDK Projects, Inc., Nanaimo, BC, Canada
Pages 9–11
doi: 10.1255/nirn.1368
Real-time monitoring of pharmaceutical powder blending
using a wireless near infrared spectrophotometer
Yusuke Hattori, Yoshiyuki Tajiri, Tatsuya Yonai and Makoto Otsuka
Research Institute of Pharmaceutical Sciences, Musashino University, Tokyo 202-8585 Japan. E-mail: yhattori@musashino-u.ac.jp
Research Institute of Pharmaceutical Sciences, Musashino University, Tokyo 202-8585 Japan. E-mail: yhattori@musashino-u.ac.jp
Techniques:
Volume 24 Issue 4 Pages 26–27 (2013)
doi: 10.1255/nirn.1374
An introduction to Bayesian statistics, Part 5: Markov chain Monte Carlo
Tom Fearn
Department of Statistical Science, University College London, London WC1E 6BT, UK
Department of Statistical Science, University College London, London WC1E 6BT, UK
Volume 24 Issue 3 Pages 18–19 (2013)
doi: 10.1255/nirn.1365
Ridge regression
Tom Fearn
Department of Statistical Science, University College London, London WC1E 6BT, UK
Department of Statistical Science, University College London, London WC1E 6BT, UK
Volume 24 Issue 2 Pages 16–17 (2013)
doi: 10.1255/nirn.1357
A tribute to Tomas Isaksson: The use of mixture design for model studies in NIR spectroscopy
Tormod Naes,a,b Tom Fearnc and Tony
Daviesd
aNofima, Ås, Norway
bDepartment of Food Science, University of Copenhagen, Denmark
cDepartment of Statistical Science, University College London, London WC1E 6BT, UK
dNorwich Near Infrared Consultancy, Cringleford, Norwich NR4 6UA, UK
aNofima, Ås, Norway
bDepartment of Food Science, University of Copenhagen, Denmark
cDepartment of Statistical Science, University College London, London WC1E 6BT, UK
dNorwich Near Infrared Consultancy, Cringleford, Norwich NR4 6UA, UK
Volume 24 Issue 1 Pages 19–20 (2013)
doi: 10.1255/nirn.1350
Independent validation sets
Tom Fearn
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 23 Issue 8 Pages 21–22 (2012)
doi: 10.1255/nirn.1342
Rotating factors
Tom Fearn
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 23 Issue 7 Pages 20–20 (2012)
doi: 10.1255/nirn.1334
Correcting (and not correcting) for bias
Tom Fearn
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 23 Issue 6 Pages 20–21 (2012)
doi: 10.1255/nirn.1326
An introduction to Bayesian statistics, Part 4: An analysis of the two-group classification problem
Tom Fearn
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 23 Issue 5 Pages 20–21 (2012)
doi: 10.1255/nirn.1318
An introduction to Bayesian statistics, Part 3: Making decisions
Tom Fearn
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
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
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
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
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
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
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
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
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
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
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
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
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
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
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 21 Issue 6 Pages 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
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
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
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
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
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
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 20 Issue 8 Pages 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
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
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
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
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 20 Issue 4 Pages 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
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
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
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
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 19 Issue 8 Pages 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
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
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
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 19 Issue 5 Pages 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
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
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
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
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
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
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
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
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
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 18 Issue 4 Pages 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
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
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 18 Issue 2 Pages 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
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
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 17 Issue 8 Pages 15– (2006)
doi: 10.1255/nirn.938
Bagging
Tom Fearn
Department of Statistical Scierce, University College London, Gower Street, London WC1E 6BT, UK
Department of Statistical Scierce, University College London, Gower Street, London WC1E 6BT, UK
Volume 17 Issue 7 Pages 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
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
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
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
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 17 Issue 3 Pages 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
Department of Statistical Science, University College London, Gower Stree, London WC1E 6BT, UK
Volume 17 Issue 2 Pages 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
Department of Statistical Science, University College London, Gower Stree, London WC1E 6BT, UK
Volume 17 Issue 1 Pages 15– (2006)
doi: 10.1255/nirn.875
Latin squares
Tom Fearn
Department of Statistical Science, University College London, Gower Stree, London WC1E 6BT UK
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Department of Statistical Science, University College London,Gower Street, London WC1E 6BT, UK
Volume 14 Issue 3 Pages 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
Department of Statistical Science, University College London,Gower Street, London WC1E 6BT, UK
Volume 14 Issue 1 Pages 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
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
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
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
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
Department of Statistical Science, University College London, Gower Street, London, WC1E 6BT, UK
Volume 13 Issue 2 Pages 15– (2002)
doi: 10.1255/nirn.660
O2-PLS
Tom Fearn
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 10 Issue 2 Pages 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
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
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 9 Issue 1 Pages 4– (1998)
doi: 10.1255/nirn.491
Bias
Tom Fearn
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
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
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
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
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
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
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
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
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 8 Issue 1 Pages 3– (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
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
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
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
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
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
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
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
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK
Volume 7 Issue 1 Pages 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
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
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
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
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
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
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
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
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
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
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
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
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
MATFORSK, Oslovegen 1, 1430 Ås, Norway
Volume 5 Issue 1 Pages 4– (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
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
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
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
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
MATFORSK, Oslovegen 1, 1430 Ås, Norway
Volume 4 Issue 1 Pages 8– (1993)
doi: 10.1255/nirn.177
Standardisation: What is it and how is it done? Part 1
Thomas Dean and Tomas Isaksson
University of Washington, USA
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
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
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
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
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
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
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
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
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
MATFORSK, Oslovegen 1, N-1430 Ås, Norway
Volume 2 Issue 1 Pages 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
MATFORSK, Oslovegen 1, N-1430 Ås, Norway
Volume 2 Issue 1 Pages 16– (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
MATFORSK, Norwegian Food Research Institute, Oslovegen 1, N-1430 Ås, Norway
Techniques:
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