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Chemometrics and Intelligent Laboratory Systems Vol. 88, Issue 1 |
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CONTENTS
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1 |
Foreword
— Chemometrics in Russia: The first five-year plan fulfilled |
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2 |
Ecological
assessment of landfills with multivariate analysis — A feasibility
study |
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3 |
A
non-statistical approach in systematic error estimation at some metal
ions determination in environmental objects by stripping voltammetry |
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4 |
Real
time diagnostics of technological processes and field equipment |
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5 |
Estimation
of the variance of sampling of process analytical and environmental
emissions measurements |
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6 |
Robustness
of PARAFAC and N-PLS regression models in relation to homoscedastic and
heteroscedastic noise |
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7 |
Representative
process sampling — in practice: Variographic analysis and estimation
of total sampling errors (TSE) |
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8 |
Simple
method for outlier detection in fitting experimental data under interval
error |
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9 |
Comparison
of different multiway methods for the analysis of geographical metal
distributions in fish, sediments and river waters in Catalonia |
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10 |
Path
modeling and process control |
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11 |
Using
hard and soft models for classification of medical images |
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12 |
New
system for computer-aided infrared and Raman spectrum interpretation |
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13 |
Multilayer
feed-forward artificial neural networks for class modeling |
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14 |
Prediction
of the Port wine age using an electronic tongue |
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15 |
Application
of SIMPLISMA purity function for variable selection in multivariate
regression analysis: A case study of protein secondary structure
determination from infrared spectra |
Last modification: 22.08.07