Practical Guide To Chemometrics Second Edition
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Practical Guide To Chemometrics Second Edition
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Author : Paul Gemperline
language : en
Publisher: CRC Press
Release Date : 2006-04-16
Practical Guide To Chemometrics Second Edition written by Paul Gemperline and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-04-16 with Science categories.
The limited coverage of data analysis and statistics offered in most undergraduate and graduate analytical chemistry courses is usually focused on practical aspects of univariate methods. Drawing in real-world examples, Practical Guide to Chemometrics, Second Edition offers an accessible introduction to application-oriented multivariate methods of data analysis and procedures that are highly beneficial to solving a variety of problems using analytical chemistry and statistics. Rather than overshadowing the concepts with theoretical background, this book uses application-oriented examples to illustrate how chemometrics techniques can be applied to complex scenarios with multiple and dynamic variables. The book presents a diverse selection of topics that include sampling, modeling, experimental design, calibration, pattern recognition, data analysis techniques, algorithms, and error. This second edition has been completely revised to feature new chapters on principal component analysis, self-modeling curve resolution, and multi-way analysis methods. It includes expanded material on normal distributions, sampling theory, signal processing, and digital filtering. Embracing the growing role of chemometrics in some of the latest research trends, such as quantitative biology, bioinformatics, and proteomics, this book also identifies several areas for future development and applications. Practical Guide to Chemometrics, Second Edition continues to offer a reliable source of useful information in a style that is accessible to all levels of students, professionals, and researchers involved in analyzing scientific data.
Practical Guide To Chemometrics
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Author : Paul Gemperline
language : en
Publisher: CRC Press
Release Date : 2006-04-16
Practical Guide To Chemometrics written by Paul Gemperline and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-04-16 with Mathematics categories.
The limited coverage of data analysis and statistics offered in most undergraduate and graduate analytical chemistry courses is usually focused on practical aspects of univariate methods. Drawing in real-world examples, Practical Guide to Chemometrics, Second Edition offers an accessible introduction to application-oriented multivariate meth
Chemometrics
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Author : Richard G. Brereton
language : en
Publisher: John Wiley & Sons
Release Date : 2018-03-13
Chemometrics written by Richard G. Brereton 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 2018-03-13 with Science categories.
A new, full-color, completely updated edition of the key practical guide to chemometrics This new edition of this practical guide on chemometrics, emphasizes the principles and applications behind the main ideas in the field using numerical and graphical examples, which can then be applied to a wide variety of problems in chemistry, biology, chemical engineering, and allied disciplines. Presented in full color, it features expansion of the principal component analysis, classification, multivariate evolutionary signal and statistical distributions sections, and new case studies in metabolomics, as well as extensive updates throughout. Aimed at the large number of users of chemometrics, it includes extensive worked problems and chapters explaining how to analyze datasets, in addition to updated descriptions of how to apply Excel and Matlab for chemometrics. Chemometrics: Data Driven Extraction for Science, Second Edition offers chapters covering: experimental design, signal processing, pattern recognition, calibration, and evolutionary data. The pattern recognition chapter from the first edition is divided into two separate ones: Principal Component Analysis/Cluster Analysis, and Classification. It also includes new descriptions of Alternating Least Squares (ALS) and Iterative Target Transformation Factor Analysis (ITTFA). Updated descriptions of wavelets and Bayesian methods are included. Includes updated chapters of the classic chemometric methods (e.g. experimental design, signal processing, etc.) Introduces metabolomics-type examples alongside those from analytical chemistry Features problems at the end of each chapter to illustrate the broad applicability of the methods in different fields Supplemented with data sets and solutions to the problems on a dedicated website Chemometrics: Data Driven Extraction for Science, Second Edition is recommended for post-graduate students of chemometrics as well as applied scientists (e.g. chemists, biochemists, engineers, statisticians) working in all areas of data analysis.
Chemometrics
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Author : Kenneth R. Beebe
language : en
Publisher: Wiley-Interscience
Release Date : 1998-03-31
Chemometrics written by Kenneth R. Beebe and has been published by Wiley-Interscience this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998-03-31 with Science categories.
An outstanding practical guide to the most common chemometric methods in use today Chemometrics explains how to apply the most widely used pattern recognition and multivariate calibration techniques to solve data analysis problems. This practical guide describes all key methods in terms of processes and applications in order to help the reader easily identify the best technique for a given situation. Drawing on years of industrial experience with chemometric tools, the authors share their six basic steps, or "habits," for achieving reliable chemometric results, and cover key areas such as: * Defining and understanding the problem * Experimental planning and design * Preprocessing of samples and variables * Supervised and unsupervised pattern recognition * Classical and inverse methods of multivariate calibration Complete with helpful chapter-end summaries, technical references, and more, this book is an invaluable hands-on resource for analytical chemists and laboratory scientists who use chemometrics in their work.
Comprehensive Chemometrics
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Author : Steven Brown
language : en
Publisher: Elsevier
Release Date : 2020-05-26
Comprehensive Chemometrics written by Steven Brown and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-26 with Science categories.
Comprehensive Chemometrics, Second Edition, Four Volume Set features expanded and updated coverage, along with new content that covers advances in the field since the previous edition published in 2009. Subject of note include updates in the fields of multidimensional and megavariate data analysis, omics data analysis, big chemical and biochemical data analysis, data fusion and sparse methods. The book follows a similar structure to the previous edition, using the same section titles to frame articles. Many chapters from the previous edition are updated, but there are also many new chapters on the latest developments. Presents integrated reviews of each chemical and biological method, examining their merits and limitations through practical examples and extensive visuals Bridges a gap in knowledge, covering developments in the field since the first edition published in 2009 Meticulously organized, with articles split into 4 sections and 12 sub-sections on key topics to allow students, researchers and professionals to find relevant information quickly and easily Written by academics and practitioners from various fields and regions to ensure that the knowledge within is easily understood and applicable to a large audience Presents integrated reviews of each chemical and biological method, examining their merits and limitations through practical examples and extensive visuals Bridges a gap in knowledge, covering developments in the field since the first edition published in 2009 Meticulously organized, with articles split into 4 sections and 12 sub-sections on key topics to allow students, researchers and professionals to find relevant information quickly and easily Written by academics and practitioners from various fields and regions to ensure that the knowledge within is easily understood and applicable to a large audience
State Estimation In Chemometrics
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Author : Pierre C. Thijssen
language : en
Publisher: Woodhead Publishing
Release Date : 2020-08-14
State Estimation In Chemometrics written by Pierre C. Thijssen and has been published by Woodhead Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-14 with Science categories.
This unique text blends together state estimation and chemometrics for the application of advanced data-processing techniques. State Estimation in Chemometrics, second edition describes the basic methods for chemical analysis—the multicomponent, calibration and titration systems—from a new perspective. It succinctly reviews the history of state estimation and chemometrics and provides examples of its many applications, including classical estimation, state estimation, nonlinear estimation, the multicomponent, calibration and titration systems and the Kalman filter. The concepts are introduced in a logical way and built up systematically to appeal to specialist post-graduates working in this area as well as professionals in other areas of chemistry and engineering. This new edition covers the latest research in chemometrics, appealing to readers in bio-engineering, food science, pharmacy, and the life sciences fostering cross-disciplinary research. Features a new chapter surveying the most up-to-date scientific literature on chemometrics, highlighting developments that have occurred since the first edition published Includes a new chapter devoted to new applications for state estimation in chemometrics Covers a new chapter entirely devoted to subspace identification methods Provides several new real-life examples of methods such as multiple modeling, principal component analysis, iterative target transformation factor analysis, and the generalized standard addition method
Practical Guide And Spectral Atlas For Interpretive Near Infrared Spectroscopy Second Edition
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Author : Jerry Workman, Jr.
language : en
Publisher: CRC Press
Release Date : 2012-04-17
Practical Guide And Spectral Atlas For Interpretive Near Infrared Spectroscopy Second Edition written by Jerry Workman, Jr. and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-04-17 with Science categories.
Interpretive spectroscopy provides a basis for the establishment of cause-and-effect relationships between NIR spectrometer response and the chemical properties of the samples. Without established cause-effect relationships, the measured data has no true predictive significance. This interpretive process is key for achieving an analytical understanding of the measurement. In the expanded second edition of Practical Guide and Spectral Atlas for Interpretive Near-Infrared Spectroscopy, the authors include new research, editorials, supplements, and molecular structural formulas, along with updated references and information on NIR spectra. The thoroughly updated and revised second edition offers a full library of color spectra in a larger format to ensure clarity and reader comprehension. Providing a rich set of reference information required to interpret NIR spectra for research and industrial applications, this book: Offers more than 300 figures representing all the major functional groups and their NIR frequency ranges Contains over 120 pages of tables and charts illustrating overlapping spectra Covers NIR spectra for organic compounds, including alkanes, carboxylic acids, amines, dienes, alkynes, heterocyclic compounds, amino acids, and aldehydes Provides comprehensive appendices with spectra-structure correlations, example spectra, and other useful data for interpreting NIR spectra
Chemometric Approach To The Experiment Optimization And Data Evaluation In Analytical Chemistry
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Author : Dr Antonije E. Onjia
language : en
Publisher: Tehnološko-metalurški falkultet, Beograd, Institut za nuklearne nauke VINČA
Release Date : 2017-10-03
Chemometric Approach To The Experiment Optimization And Data Evaluation In Analytical Chemistry written by Dr Antonije E. Onjia and has been published by Tehnološko-metalurški falkultet, Beograd, Institut za nuklearne nauke VINČA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10-03 with categories.
Practical Data Analysis In Chemistry
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Author : Marcel Maeder
language : en
Publisher: Elsevier
Release Date : 2007-08-10
Practical Data Analysis In Chemistry written by Marcel Maeder and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-08-10 with Science categories.
The majority of modern instruments are computerised and provide incredible amounts of data. Methods that take advantage of the flood of data are now available; importantly they do not emulate 'graph paper analyses' on the computer. Modern computational methods are able to give us insights into data, but analysis or data fitting in chemistry requires the quantitative understanding of chemical processes. The results of this analysis allows the modelling and prediction of processes under new conditions, therefore saving on extensive experimentation. Practical Data Analysis in Chemistry exemplifies every aspect of theory applicable to data analysis using a short program in a Matlab or Excel spreadsheet, enabling the reader to study the programs, play with them and observe what happens. Suitable data are generated for each example in short routines, this ensuring a clear understanding of the data structure. Chapter 2 includes a brief introduction to matrix algebra and its implementation in Matlab and Excel while Chapter 3 covers the theory required for the modelling of chemical processes. This is followed by an introduction to linear and non-linear least-squares fitting, each demonstrated with typical applications. Finally Chapter 5 comprises a collection of several methods for model-free data analyses. * Includes a solid introduction to the simulation of equilibrium processes and the simulation of complex kinetic processes. * Provides examples of routines that are easily adapted to the processes investigated by the reader * 'Model-based' analysis (linear and non-linear regression) and 'model-free' analysis are covered
Chemometrics For Pattern Recognition
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Author : Richard G. Brereton
language : en
Publisher: John Wiley & Sons
Release Date : 2009-06-29
Chemometrics For Pattern Recognition written by Richard G. Brereton 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 2009-06-29 with Science categories.
Over the past decade, pattern recognition has been one of the fastest growth points in chemometrics. This has been catalysed by the 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, the significant growth in applications especially in biomedical analytical chemical measurements of extracts from humans and animals, together with the increased capabilities of desktop computing. The interpretation of such multivariate datasets has required the application and development of new chemometric techniques such as pattern recognition, the focus of this work. Included within the text are: ‘Real world’ pattern recognition case studies from a wide variety of sources including biology, medicine, materials, pharmaceuticals, food, forensics and environmental science; Discussions of methods, many of which are also common in biology, biological analytical chemistry and machine learning; Common tools such as Partial Least Squares and Principal Components Analysis, as well as those that are rarely used in chemometrics such as Self Organising Maps and Support Vector Machines; Representation in full colour; Validation of models and hypothesis testing, and the underlying motivation of the methods, including how to avoid some common pitfalls. Relevant to active chemometricians and analytical scientists in industry, academia and government establishments as well as those involved in applying statistics and computational pattern recognition.