Applied Chemometrics for Scientists
by Brereton, Richard G.Buy New
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Summary
Author Biography
Over 1250 citations in the literature, 60+ invited lectures, 30+ seminars given, 2 authored books, contributed to 9 edited works and has co-edited 3 books. Served as Associate Editor Chemometrics and Intelligent Laboratory Systems (Elsevier) for 5 years.
Taught in undergraduate and graduate courses for over 20 years, written extensively in the application of Chemometrics.
Table of Contents
| Preface | |
| Introduction | |
| Development of Chemometrics | |
| Application Areas | |
| How to Use this Book | |
| Literature and Other Sources of Information | |
| References | |
| Experimental Design | |
| Why Design Experiments in Chemistry? | |
| Degrees of Freedom and Sources of Error | |
| Analysis of Variance and Interpretation of Errors | |
| Matrices, Vectors and the Pseudoinverse | |
| Design Matrices | |
| Factorial Designs | |
| An Example of a Factorial Design | |
| Fractional Factorial Designs | |
| Plackett-Burman and Taguchi Designs | |
| The Application of a Plackett-Burman Design to the Screening of Factors Influencing a Chemical Reaction | |
| Central Composite Designs | |
| Mixture Designs | |
| A Four Component Mixture Design Used to Study Blending of Olive Oils | |
| Simplex Optimization | |
| Leverage and Confidence in Models | |
| Designs for Multivariate Calibration | |
| References | |
| Statistical Concepts | |
| Statistics for Chemists | |
| Errors | |
| Describing Data | |
| The Normal Distribution | |
| Is a Distribution Normal? | |
| Hypothesis Tests | |
| Comparison of Means: the t-Test | |
| F-Test for Comparison of Variances | |
| Confidence in Linear Regression | |
| More about Confidence | |
| Consequences of Outliers and How to Deal with Them | |
| Detection of Outliers | |
| Shewhart Charts | |
| More about Control Charts | |
| References | |
| Sequential Methods | |
| Sequential Data | |
| Correlograms | |
| Linear Smoothing Functions and Filters | |
| Fourier Transforms | |
| Maximum Entropy and Bayesian Methods | |
| Fourier Filters | |
| Peakshapes in Chromatography and Spectroscopy | |
| Derivatives in Spectroscopy and Chromatography | |
| Wavelets | |
| References | |
| Pattern Recognition | |
| Introduction | |
| Principal Components Analysis | |
| Graphical Representation of Scores and Loadings | |
| Comparing Multivariate Patterns | |
| Preprocessing | |
| Unsupervised Pattern Recognition: Cluster Analysis | |
| Supervised Pattern Recognition | |
| Statistical Classification Techniques | |
| K Nearest Neighbour Method | |
| How Many Components Characterize a Dataset? | |
| Multiway Pattern Recognition | |
| References | |
| Calibration | |
| Introduction | |
| Univariate Calibration | |
| Multivariate Calibration and the Spectroscopy of Mixtures | |
| Multiple Linear Regression | |
| Principal Components Regression | |
| Partial Least Squares | |
| How Good is the Calibration and What is the Most Appropriate Model? | |
| Multiway Calibration | |
| References | |
| Coupled Chromatography | |
| Introduction | |
| Preparing the Data | |
| Chemical Composition of Sequential Data | |
| Univariate Purity Curves | |
| Similarity Based Methods | |
| Evolving and Window Factor Analysis | |
| Derivative Based Methods | |
| Deconvolution of Evolutionary Signals | |
| Noniterative Methods for Resolution | |
| Iterative Methods for Resolution | |
| Equilibria, Reactions and Process Analytics | |
| The Study of Equilibria using Spectroscopy | |
| Spectroscopic Monitoring of Reactions | |
| Kinetics and Multivariate Models for the Quantitative Study of Reactions | |
| Developments in the Analysis of Reactions using On-line Spectroscopy | |
| The Process Analytical Technology Initiative | |
| References | |
| Table of Contents provided by Publisher. All Rights Reserved. |
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