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as neural networks, genetic algorithms and latent variable based methods.;
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Providing an easy explanation of the fundamentals, methods, and applications of chemometrics Acts as a practical guide to multivariate data;
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This unique text blends together state estimation and chemometrics for the application of advanced data-processing techniques. State;
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chemometrics, emphasizes the principles and applications behind the main ideas in the field using numerical and graphical examples, which can then be;
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. It allows scientists using spectroscopic instruments to find explanations and solutions to their problems when they are confronted with;
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Chemometrics is a term for describing analytical methods used for processing large number of data for better understanding. Svante Wold and;
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The limited coverage of data analysis and statistics offered in most undergraduate and graduate analytical chemistry courses is usually;
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world data. The book allows scientists using spectroscopic instruments to find explanations and solutions to their problems when they are;
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CHEMOMETRICS AND CHEMINFORMATICS IN AQUATIC TOXICOLOGY Explore chemometric and cheminformatic techniques and tools in aquatic toxicology;
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Chemometrics is the chemical discipline that uses mathematical, statistical and other methods employing formal logic: to design or select;
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Chemometrics is the chemical discipline that uses analytical techniques in combination with mathematical and statistical methods to obtain;
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by providing a broader range of mathematics and progressing into the fundamentals of multivariate and experimental data analysis. Subjects;
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pattern recognition and multivariate calibration techniques to solve data analysis problems. This practical guide describes all key methods;
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objective of discovering the relationships among multiple variables and samples. Enter chemometrics, with its powerful tools for design, analysis;
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objective of discovering the relationships among multiple variables and samples. Enter chemometrics, with its powerful tools for design, analysis;
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Experts from both academia and industry provide an overview of current research in computer-assisted analytical spectroscopy and;
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Using formal descriptions, graphical illustrations, practical examples, and R software tools, Introduction to Multivariate Statistical;
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This book discusses chemometric methods for spectroscopy analysis including NIR, MIR, Raman, NMR, and LIBS, from the perspective;
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The issues related to food science and authentication are of particular importance for researchers, consumers and regulatory entities;
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increase in capabilities of automated instruments such as LCMS, GCMS, and NMR, to name a few, to obtain large quantities of data, and, in parallel;
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description of the general data analysis paradigm, from exploratory analysis (principal component analysis, self-organizing maps and clustering) to;
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Data analysis is a vital part of science today, and in assessing quality, multivariate analysis is often necessary in order to avoid loss;
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In this book, the authors discuss the principles, methodology and emerging challenges of drug development. Topics include outsourcing and;
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Rapid, inexpensive, and easy-to-deploy, near-infrared (NIR) spectroscopy can be used to analyze samples of virtually any composition;
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Infrared and Raman Spectroscopy of Biological Materials facilitates a comprehensive and through understanding of the latest developments;
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In recent years, Genetic Algorithms (GA) and Artificial Neural Networks (ANN) have progressively increased in importance amongst the;
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