Introduction To Multivariate Statistical Analysis In Chemometrics
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Introduction To Multivariate Statistical Analysis In Chemometrics
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Author : Kurt Varmuza
language : en
Publisher: CRC Press
Release Date : 2016-04-19
Introduction To Multivariate Statistical Analysis In Chemometrics written by Kurt Varmuza and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-19 with Mathematics categories.
Using formal descriptions, graphical illustrations, practical examples, and R software tools, Introduction to Multivariate Statistical Analysis in Chemometrics presents simple yet thorough explanations of the most important multivariate statistical methods for analyzing chemical data. It includes discussions of various statistical methods, such as
Chemometrics And Cheminformatics In Aquatic Toxicology
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Author : Kunal Roy
language : de
Publisher: John Wiley & Sons
Release Date : 2021-12-01
Chemometrics And Cheminformatics In Aquatic Toxicology written by Kunal Roy and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-01 with Science categories.
Das Buch Chemometrics and Cheminformatics in Aquatic Toxicology befasst sich mit den bestehenden und neu auftretenden Problemen der Verschmutzung der aquatischen Umwelt durch verschiedene metallische und organische Schadstoffe, insbesondere Industriechemikalien, Pharmazeutika, Kosmetika, Biozide, Nanomaterialien, Pestizide, Tenside, Farbstoffe und viele weitere. Es werden verschiedene chemometrische und cheminformatische Instrumente für Laien beschrieben mitsamt ihrer Anwendung auf die Analyse und Modellierung der Toxizitätsdaten von Chemikalien in Bezug auf unterschiedliche aquatische Organismen. Eine Reihe von Datenbanken zur aquatischen Toxizität sowie chemometrische Softwaretools und Webserver werden vorgestellt und praktische Beispiele für die Modellentwicklung gegeben, einschließlich der entsprechenden Abbildungen. Darüber hinaus enthält das Werk Fallstudien und Literaturberichte, um das Verständnis des Themas abzurunden. Außerdem lernen die Leserinnen und Leser Werkzeuge und Protokolle wie maschinelles Lernen, Data Mining sowie Methoden des QSAR-basierten und ligandenbasierten chemischen Designs kennen. Darüber hinaus bietet das Werk: * Eine umfassende Einführung in chemometrische und cheminformatische Instrumente und Techniken, insbesondere maschinelles Lernen und Data Mining * Eine Darstellung von Datenbanken zur aquatischen Toxizität, chemometrischen Softwaretools und Webservern * Praktische Beispiele und Fallstudien zur Verdeutlichung und Veranschaulichung der im Buch enthaltenen Konzepte * Eine kompakte Erläuterung der chemometrischen und cheminformatischen Instrumente sowie ihrer Anwendung auf die Analyse und Modellierung von Toxizitätsdaten Chemometrics and Cheminformatics in Aquatic Toxicology ist ideal für Forschende und Studierende der Chemie sowie der Umwelt- und Pharmawissenschaften und sollte auch in den Bibliotheken von Fachleuten in der chemischen Industrie sowie Aufsichtsbehörden, die sich mit Chemometrie beschäftigen, einen Platz finden.
Multivariate Data Analysis
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Author : Kim H. Esbensen
language : en
Publisher: Multivariate Data Analysis
Release Date : 2002
Multivariate Data Analysis written by Kim H. Esbensen and has been published by Multivariate Data Analysis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Experimental design categories.
"Multivariate Data Analysis - in practice adopts a practical, non-mathematical approach to multivariate data analysis. The book's principal objective is to provide a conceptual framework for multivariate data analysis techniques, enabling the reader to apply these in his or her own field. Features: Focuses on the practical application of multivariate techniques such as PCA, PCR and PLS and experimental design. Non-mathematical approach - ideal for analysts with little or no background in statistics. Step by step introduction of new concepts and techniques promotes ease of learning. Theory supported by hands-on exercises based on real-world data. A full training copy of The Unscrambler (for Windows 95, Windows NT 3.51 or later versions) including data sets for the exercises is available. Tutorial exercises based on data from real-world applications are used throughout the book to illustrate the use of the techniques introduced, providing the reader with a working knowledge of modern multivariate data analysis and experimental design. All exercises use The Unscrambler, a de facto industry standard for multivariate data analysis software packages. Multivariate Data Analysis in Practice is an excellent self-study text for scientists, chemists and engineers from all disciplines (non-statisticians) wishing to exploit the power of practical multivariate methods. It is very suitable for teaching purposes at the introductory level, and it can always be supplemented with higher level theoretical literature."Résumé de l'éditeur.
Multivariate Data Analysis
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Author : Kim H. Esbensen
language : en
Publisher:
Release Date : 2018
Multivariate Data Analysis written by Kim H. Esbensen and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with Multivariate analysis categories.
Applied Compositional Data Analysis
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Author : Peter Filzmoser
language : en
Publisher: Springer
Release Date : 2018-11-03
Applied Compositional Data Analysis written by Peter Filzmoser and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-03 with Mathematics categories.
This book presents the statistical analysis of compositional data using the log-ratio approach. It includes a wide range of classical and robust statistical methods adapted for compositional data analysis, such as supervised and unsupervised methods like PCA, correlation analysis, classification and regression. In addition, it considers special data structures like high-dimensional compositions and compositional tables. The methodology introduced is also frequently compared to methods which ignore the specific nature of compositional data. It focuses on practical aspects of compositional data analysis rather than on detailed theoretical derivations, thus issues like graphical visualization and preprocessing (treatment of missing values, zeros, outliers and similar artifacts) form an important part of the book. Since it is primarily intended for researchers and students from applied fields like geochemistry, chemometrics, biology and natural sciences, economics, and social sciences, all the proposed methods are accompanied by worked-out examples in R using the package robCompositions.
Introduction To Multivariate Calibration
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Author : Alejandro C. Olivieri
language : en
Publisher: Springer
Release Date : 2018-08-20
Introduction To Multivariate Calibration written by Alejandro C. Olivieri and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-20 with Science categories.
This book offers an introductory-level guide to the complex field of multivariate analytical calibration, with particular emphasis on real applications such as near infrared spectroscopy. It presents intuitive descriptions of mathematical and statistical concepts, illustrated with a wealth of figures and diagrams, and consistently highlights physicochemical interpretation rather than mathematical issues. In addition, it describes an easy-to-use and freely available graphical interface, together with a variety of appropriate examples and exercises. Lastly, it discusses recent advances in the field (figures of merit, detection limit, non-linear calibration, method comparison), together with modern literature references.
Process Analytical Technology For The Food Industry
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Author : Colm P. O'Donnell
language : en
Publisher: Springer
Release Date : 2014-11-03
Process Analytical Technology For The Food Industry written by Colm P. O'Donnell and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-11-03 with Technology & Engineering categories.
The Process Analytical Technology (PAT) initiative aims to move from a paradigm of ‘testing quality in’ to ‘building quality in by design’. It can be defined as the optimal application of process analytical technologies, feedback process control strategies, information management tools, and/or product–process optimization strategies. Recently, there have been significant advances in process sensors and in model-based monitoring and control methodologies, leading to enormous opportunities for improved performance of food manufacturing processes and for the quality of food products with the adoption of PAT. Improvements in process efficiency, reduced product variability, enhanced traceability, process understanding, and decreased risk of contamination are some of the benefits arising from the introduction of a PAT strategy in the food industry. Process Analytical Technology for the Food Industry reviews established and emerging PAT tools with potential application within the food processing industry. The book will also serve as a reference for industry, researchers, educators, and students by providing a comprehensive insight into the objectives, challenges, and benefits of adopting a Process Analytical Technology strategy in the food industry.
Chemometrics In Excel
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Author : Alexey L. Pomerantsev
language : en
Publisher: John Wiley & Sons
Release Date : 2014-05-06
Chemometrics In Excel written by Alexey L. Pomerantsev and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-06 with Science categories.
Providing an easy explanation of the fundamentals, methods, and applications of chemometrics • Acts as a practical guide to multivariate data analysis techniques • Explains the methods used in Chemometrics and teaches the reader to perform all relevant calculations • Presents the basic chemometric methods as worksheet functions in Excel • Includes Chemometrics Add In for download which uses Microsoft Excel® for chemometrics training • Online downloads includes workbooks with examples
Multi And Megavariate Data Analysis Basic Principles And Applications
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Author : L. Eriksson
language : en
Publisher: Umetrics Academy
Release Date : 2013-07-01
Multi And Megavariate Data Analysis Basic Principles And Applications written by L. Eriksson and has been published by Umetrics Academy this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-07-01 with Mathematics categories.
To understand the world around us, as well as ourselves, we need to measure many things, many variables, many properties of the systems and processes we investigate. Hence, data collected in science, technology, and almost everywhere else are multivariate, a data table with multiple variables measured on multiple observations (cases, samples, items, process time points, experiments). This book describes a remarkably simple minimalistic and practical approach to the analysis of data tables (multivariate data). The approach is based on projection methods, which are PCA (principal components analysis), and PLS (projection to latent structures) and the book shows how this works in science and technology for a wide variety of applications. In particular, it is shown how the great information content in well collected multivariate data can be expressed in terms of simple but illuminating plots, facilitating the understanding and interpretation of the data. The projection approach applies to a variety of data-analytical objectives, i.e., (i) summarizing and visualizing a data set, (ii) multivariate classification and discriminant analysis, and (iii) finding quantitative relationships among the variables. This works with any shape of data table, with many or few variables (columns), many or few observations (rows), and complete or incomplete data tables (missing data). In particular, projections handle data matrices with more variables than observations very well, and the data can be noisy and highly collinear. Authors: The five authors are all connected to the Umetrics company (www.umetrics.com) which has developed and sold software for multivariate analysis since 1987, as well as supports customers with training and consultations. Umetrics' customers include most large and medium sized companies in the pharmaceutical, biopharm, chemical, and semiconductor sectors.
Chemometrics In Analytical Spectroscopy
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Author : Mike J Adams
language : en
Publisher: Royal Society of Chemistry
Release Date : 2007-10-31
Chemometrics In Analytical Spectroscopy written by Mike J Adams and has been published by Royal Society of Chemistry this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-10-31 with Science categories.
Chemometrics in Analytical Spectroscopy provides students and practising analysts with a tutorial guide to the use and application of the more commonly encountered techniques used in processing and interpreting analytical spectroscopic data. In detail the book covers the basic elements of univariate and multivariate data analysis, the acquisition of digital data and signal enhancement by filtering and smoothing, feature selection and extraction, pattern recognition, exploratory data analysis by clustering, and common algorithms in use for multivariate calibration techniques. An appendix is included which serves as an introduction or refresher in matrix algebra. The extensive use of worked examples throughout gives Chemometrics in Analytical Spectroscopy special relevance in teaching and introducing chemometrics to undergraduates and post-graduates undertaking analytical science courses. It assumes only a very moderate level of mathematics, making the material far more accessible than other publications on chemometrics. The book is also ideal for analysts with little specialist background in statistics or mathematical methods, who wish to appreciate the wealth of material published in chemometrics.