Chemometrics: Applications Of Mathematics And Statistics To Laboratory Systems

Science & Math

Brereton, Richard G.

Chemistry

Ellis Horwood, Ltd.

The book introduces most of the basic tools of chemometrics including experimental design, signal analysis, statistical methods for analytical chemistry and multivariate methods. It then discusses a number of important applications including food chemistry, biological pattern recognition, reaction monitoring, optimisation of processes, medical applications. 
The book arises from a series of short articles that have been developed over four years on Chemweb (www.chemweb.com).

Applied Chemometrics for Scientists

Biological Sciences

wiley

Chemometrics

WILEY JOHN

This book is aimed at the large number of people who need to use chemometrics but do not wish to understand complex mathematics, therefore it offers a comprehensive examination of the field of chemometrics without overwhelming the reader with complex mathematics.   * Includes five chapters that cover the basic principles of chemometrics analysis. * Provides two chapters on the use of Excel and MATLAB for chemometrics analysis. * Contains 70 worked problems so that readers can gain a practical understanding of the use of chemometrics.

Chemometrics: Data Analysis for the Laboratory and Chemical Plant

John Wiley&Sons, Inc.

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: <ul>
<li>‘Real world’ pattern recognition case studies from a wide variety of sources including biology, medicine, materials, pharmaceuticals, food, forensics and environmental science;</li> <li>Discussions of methods, many of which are also common in biology, biological analytical chemistry and machine learning;</li> <li>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;</li> <li>Representation in full colour;</li> <li>Validation of models and hypothesis testing, and the underlying motivation of the methods, including how to avoid some common pitfalls.</li> </ul>
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.

Chemometrics for Pattern Recognition

This book is aimed at the large number of people who need to use chemometrics but do not wish to understand complex mathematics, therefore it offers a comprehensive examination of the field of chemometrics without overwhelming the reader with complex mathematics. * Includes five chapters that cover the basic principles of chemometrics analysis. * Provides two chapters on the use of Excel and MATLAB for chemometrics analysis. * Contains 70 worked problems so that readers can gain a practical understanding of the use of chemometrics.

This book is aimed at the large number of people who need to use chemometrics but do not wish to understand complex mathematics, therefore it offers a comprehensive examination of the field of chemometrics without overwhelming the reader with complex mathematics. 
* Includes five chapters that cover the basic principles of chemometrics analysis. * Provides two chapters on the use of Excel and MATLAB for chemometrics analysis. * Contains 70 worked problems so that readers can gain a practical understanding of the use of chemometrics.

John Wiley&Sons

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. <ul>
<li>Includes updated chapters of the classic chemometric methods (e.g. experimental design, signal processing, etc.)</li> <li>Introduces metabolomics-type examples alongside those from analytical chemistry</li> <li>Features problems at the end of each chapter to illustrate the broad applicability of the methods in different fields</li> <li>Supplemented with data sets and solutions to the problems on a dedicated website</li> </ul>
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: Data Driven Extraction for Science

Understand new modes of analyzing metabolomic data Metabolomics is the study of metabolites, small molecules and chemical substrates within cells or larger structures which collectively make up the metabolome. The field of metabolomics stands to benefit enormously from chemometrics, an approach which brings advanced statistical techniques to bear on data of this kind. Data Analysis and Chemometrics for Metabolomics constitutes an accessible introduction to chemometric techniques and their applications in the field of metabolomics. Thoroughly and accessibly written by a leading expert in chemometrics, and printed in full-colour, it brings robust data analysis into conversation with the metabolomic field to the immense benefit of practitioners. Data Analysis and Chemometrics for Metabolomics readers will also find: <ul> <li>Statistical insights into the nature of metabolomic hypothesis testing, validation, and more</li> <li>All metabolomics data sets from the book on a companion website</li> <li>Case studies from human, animal, plant and bacterial biology</li> </ul> Data Analysis and Chemometrics for Metabolomics is ideal for practitioners in the life sciences, clinical sciencesand chemistry, as well as metabolomics researchers or developers of research instruments looking to apply cutting-edge analytical techniques and statisticians developing methods to design experiments and analyse large datasets of clinical and biological origin.

Data Analysis and Chemometrics for Metabolomics

See the best price to sell, buy, or rent books by Brereton, Richard G.. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Books by Brereton, Richard G.

See the best price to sell, buy, or rent books by Brereton, Richard G.. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Chemometrics: Applications Of Mathematics And Statistics To Laboratory Systems

Applied Chemometrics for Scientists

Chemometrics

Chemometrics: Data Analysis for the Laboratory and Chemical Plant

Chemometrics for Pattern Recognition

Chemometrics: Data Analysis for the Laboratory and Chemical Plant

Chemometrics

Chemometrics: Data Driven Extraction for Science

Data Analysis and Chemometrics for Metabolomics