Chemometrics: Statistics and Computer Application in Analytical Chemistry

By Eric R. Ziegel. Technometrics, 2001

475 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/e34843845641951bd0d800000ead5076665c5ee9

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In Analytical Chemistry

Citations in the corpus

Advancing Biosensors with Machine Learning. (2020, methodology): “23 Chemometric methods have achieved extensive acceptance in analytical chemistry.”
Comparison of different regression models and validation techniques for the assessment of wheat leaf area index from hyperspectral data (2015, methodology): “In all cases, model validation was performed by leave-one-out cross-validation (cv), which means that each sample was estimated by a regression model that was calibrated using the remaining (n – 1) samples (Otto 2007).”
Supervised pattern recognition in food analysis. (2007, background): “, the algoithm of PCA, the definition for the distance measures and lustering algorithms) can be found in standard chemometric rticles and textbooks [1,26,27].”
Response surface methodology (RSM) as a tool for optimization in analytical chemistry. (2008, methodology): “Once ANN has been trained, it has a good predictive capability and ability to accurately describe the response surface even without any knowledge about the physical and chemical background of the modeled system [14,22].”
Monitoring of fresh-cut spinach leaves through a multispectral vision system (2012, methodology): “Ward's method is preferable to other classification methods because it takes into account all histograms of the data set at every level of the grouping, thus producing very well-structured and homogeneous groups (Otto, 2007).”
A review of near infrared spectroscopy and chemometrics in pharmaceutical technologies. (2007, unknown): “[13] M.”