Статьи из Chemometrics and Intelligent Laboratory Systems

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1.

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http://dx.doi.org/10.1016/j.chemolab.2005.12.002

Application of the replacement method as a novel variable selection strategy in QSAR. 1. Carcinogenic potential
Chemometrics and Intelligent Laboratory Systems, Volume 81, Issue 2, 15 April 2006, Pages 180-187
Aliuska Helguera Morales, Pablo R. Duchowicz, Miguel Ángel Cabrera Pérez, Eduardo A. Castro, Maria Natália Dias Soeiro Cordeiro and Maykel Pérez González

2.

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http://dx.doi.org/10.1016/j.chemolab.2003.12.016

New approach in joint interpretation of mass spectrometric and gas chromatographic data
Chemometrics and Intelligent Laboratory Systems, Volume 72, Issue 2, 28 July 2004, Pages 233-240
Igor G. Zenkevich

3.

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http://dx.doi.org/10.1016/j.chemolab.2004.04.014 

Standard error of prediction for multilinear PLS: 2. Practical implementation in fluorescence spectroscopy
Chemometrics and Intelligent Laboratory Systems, Volume 75, Issue 1, 28 January 2005, Pages 69-76
Rasmus Bro, Åsmund Rinnan and Nicolaas (Klaas) M. Faber

4.

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http://dx.doi.org/10.1016/S0169-7439(01)00204-0

Standard error of prediction for multiway PLS: 1. Background and a simulation study
Chemometrics and Intelligent Laboratory Systems, Volume 61, Issues 1-2, 28 February 2002, Pages 133-149
Nicolaas (Klaas) M. Faber and Rasmus Bro

5.

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http://dx.doi.org/10.1016/S0169-7439(00)00117-9

Iteratively reweighted generalized rank annihilation method: 1. Improved handling of prediction bias
Chemometrics and Intelligent Laboratory Systems, Volume 55, Issues 1-2, 13 January 2001, Pages 67-90
Nicolaas (Klaas) M. Faber, Joan Ferré and Ricard Boqué

6.

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http://dx.doi.org/10.1016/S0169-7439(00)00118-0

Iteratively reweighted generalized rank annihilation method: 2. Least squares property and variance expressions
Chemometrics and Intelligent Laboratory Systems, Volume 55, Issues 1-2, 13 January 2001, Pages 91-100
Nicolaas (Klaas) M. Faber, Ricard Boqué and Joan Ferré

7.

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http://dx.doi.org/10.1016/0169-7439(90)80136-T

Extension of self-modeling curve resolution to mixtures of more than three components : Part 1. Finding the basic feasible region
Chemometrics and Intelligent Laboratory Systems, Volume 8, Issue 2, June 1990, Pages 205-216
Ronald C. Henry and Bong Mann Kim

8.

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http://dx.doi.org/10.1016/S0169-7439(99)00029-5

Extension of self-modeling curve resolution to mixtures of more than three components: Part 2. Finding the complete solution
Chemometrics and Intelligent Laboratory Systems, Volume 49, Issue 1, 6 September 1999, Pages 67-77
Bong Mann Kim and Ronald C. Henry

9.

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http://dx.doi.org/10.1016/S0169-7439(00)00077-0

Extension of self-modeling curve resolution to mixtures of more than three components: Part 3. Atmospheric aerosol data simulation studies
Chemometrics and Intelligent Laboratory Systems, Volume 52, Issue 2, 18 September 2000, Pages 145-154
Bong Mann Kim and Ronald C. Henry

10.

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 http://dx.doi.org/10.1016/S0169-7439(98)00053-7

Aspects of network training and validation on noisy data Part 1. Training aspects
Chemometrics and Intelligent Laboratory Systems, Volume 41, Issue 2, 27 July 1998, Pages 171-184
E. P. P. A. Derks and L. M. C. Buydens

11.

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http://dx.doi.org/10.1016/S0169-7439(98)00054-9

Aspects of network training and validation on noisy data Part 2. Validation aspects
Chemometrics and Intelligent Laboratory Systems, Volume 41, Issue 2, 27 July 1998, Pages 185-193
E. P. P. A. Derks and L. M. C. Buydens

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