{"product_id":"applied-chemometrics-for-scientists-hardback-9780470016862","title":"Applied Chemometrics for Scientists (Hardback) 9780470016862","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eApplied Chemometrics for Scientists\u003c\/font\u003e\u003cbr\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003c\/p\u003e\n\u003cp\u003e\u003cfont size=\"4\"\u003eRichard G. Brereton (Author)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9780470016862, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 16 February 2007\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e400 pages\u003cbr\u003e25.2 x 17.5 x 2.7 cm, 0.907 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cem\u003e\u003cfont size=\"3\"\u003e\"…useful for introducing chemometrics in undergraduate classes…a valuable encyclopedia for researchers…\" (\u003ci\u003eJournal of Chemical Education\u003c\/i\u003e, December 2007)\u003c\/font\u003e\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003eThe 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.  \u003cp\u003eThe book arises from a series of short articles that have been developed over four years on Chemweb (www.chemweb.com).\u003c\/p\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cb\u003ePreface.\u003c\/b\u003e  \u003cp\u003e\u003cb\u003e1 Introduction.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e1.1 Development of Chemometrics.\u003c\/p\u003e \u003cp\u003e1.2 Application Areas.\u003c\/p\u003e \u003cp\u003e1.3 How to Use this Book.\u003c\/p\u003e \u003cp\u003e1.4 Literature and Other Sources of Information.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 Experimental Design.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e2.1 Why Design Experiments in Chemistry?\u003c\/p\u003e \u003cp\u003e2.2 Degrees of Freedom and Sources of Error.\u003c\/p\u003e \u003cp\u003e2.3 Analysis of Variance and Interpretation of Errors.\u003c\/p\u003e \u003cp\u003e2.4 Matrices, Vectors and the Pseudoinverse.\u003c\/p\u003e \u003cp\u003e2.5 Design Matrices.\u003c\/p\u003e \u003cp\u003e2.6 Factorial Designs.\u003c\/p\u003e \u003cp\u003e2.7 An Example of a Factorial Design.\u003c\/p\u003e \u003cp\u003e2.8 Fractional Factorial Designs.\u003c\/p\u003e \u003cp\u003e2.9 Plackett–Burman and Taguchi Designs.\u003c\/p\u003e \u003cp\u003e2.10 The Application of a Plackett–Burman Design to the Screening of Factors Influencing a Chemical Reaction.\u003c\/p\u003e \u003cp\u003e2.11 Central Composite Designs.\u003c\/p\u003e \u003cp\u003e2.12 Mixture Designs.\u003c\/p\u003e \u003cp\u003e2.13 A Four Component Mixture Design Used to Study Blending of Olive Oils.\u003c\/p\u003e \u003cp\u003e2.14 Simplex Optimization.\u003c\/p\u003e \u003cp\u003e2.15 Leverage and Confidence in Models.\u003c\/p\u003e \u003cp\u003e2.16 Designs for Multivariate Calibration.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 Statistical Concepts.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e3.1 Statistics for Chemists.\u003c\/p\u003e \u003cp\u003e3.2 Errors.\u003c\/p\u003e \u003cp\u003e3.3 Describing Data.\u003c\/p\u003e \u003cp\u003e3.4 The Normal Distribution.\u003c\/p\u003e \u003cp\u003e3.5 Is a Distribution Normal?\u003c\/p\u003e \u003cp\u003e3.6 Hypothesis Tests.\u003c\/p\u003e \u003cp\u003e3.7 Comparison of Means: the \u003ci\u003et\u003c\/i\u003e-Test.\u003c\/p\u003e \u003cp\u003e3.8 \u003ci\u003eF\u003c\/i\u003e-Test for Comparison of Variances.\u003c\/p\u003e \u003cp\u003e3.9 Confidence in Linear Regression.\u003c\/p\u003e \u003cp\u003e3.10 More about Confidence.\u003c\/p\u003e \u003cp\u003e3.11 Consequences of Outliers and How to Deal with Them.\u003c\/p\u003e \u003cp\u003e3.12 Detection of Outliers.\u003c\/p\u003e \u003cp\u003e3.13 Shewhart Charts.\u003c\/p\u003e \u003cp\u003e3.14 More about Control Charts.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Sequential Methods.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e4.1 Sequential Data.\u003c\/p\u003e \u003cp\u003e4.2 Correlograms.\u003c\/p\u003e \u003cp\u003e4.3 Linear Smoothing Functions and Filters.\u003c\/p\u003e \u003cp\u003e4.4 Fourier Transforms.\u003c\/p\u003e \u003cp\u003e4.5 Maximum Entropy and Bayesian Methods.\u003c\/p\u003e \u003cp\u003e4.6 Fourier Filters.\u003c\/p\u003e \u003cp\u003e4.7 Peakshapes in Chromatography and Spectroscopy.\u003c\/p\u003e \u003cp\u003e4.8 Derivatives in Spectroscopy and Chromatography.\u003c\/p\u003e \u003cp\u003e4.9 Wavelets.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 Pattern Recognition.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e5.1 Introduction.\u003c\/p\u003e \u003cp\u003e5.2 Principal Components Analysis.\u003c\/p\u003e \u003cp\u003e5.3 Graphical Representation of Scores and Loadings.\u003c\/p\u003e \u003cp\u003e5.4 Comparing Multivariate Patterns.\u003c\/p\u003e \u003cp\u003e5.5 Preprocessing.\u003c\/p\u003e \u003cp\u003e5.6 Unsupervised Pattern Recognition: Cluster Analysis.\u003c\/p\u003e \u003cp\u003e5.7 Supervised Pattern Recognition.\u003c\/p\u003e \u003cp\u003e5.8 Statistical Classification Techniques.\u003c\/p\u003e \u003cp\u003e5.9 K Nearest Neighbour Method.\u003c\/p\u003e \u003cp\u003e5.10 How Many Components Characterize a Dataset?\u003c\/p\u003e \u003cp\u003e5.11 Multiway Pattern Recognition.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 Calibration.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e6.1 Introduction.\u003c\/p\u003e \u003cp\u003e6.2 Univariate Calibration.\u003c\/p\u003e \u003cp\u003e6.3 Multivariate Calibration and the Spectroscopy of Mixtures.\u003c\/p\u003e \u003cp\u003e6.4 Multiple Linear Regression.\u003c\/p\u003e \u003cp\u003e6.5 Principal Components Regression.\u003c\/p\u003e \u003cp\u003e6.6 Partial Least Squares.\u003c\/p\u003e \u003cp\u003e6.7 How Good is the Calibration and What is the Most Appropriate Model?\u003c\/p\u003e \u003cp\u003e6.8 Multiway Calibration.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 Coupled Chromatography.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e7.1 Introduction.\u003c\/p\u003e \u003cp\u003e7.2 Preparing the Data.\u003c\/p\u003e \u003cp\u003e7.3 Chemical Composition of Sequential Data.\u003c\/p\u003e \u003cp\u003e7.4 Univariate Purity Curves.\u003c\/p\u003e \u003cp\u003e7.5 Similarity Based Methods.\u003c\/p\u003e \u003cp\u003e7.6 Evolving and Window Factor Analysis.\u003c\/p\u003e \u003cp\u003e7.7 Derivative Based Methods.\u003c\/p\u003e \u003cp\u003e7.8 Deconvolution of Evolutionary Signals.\u003c\/p\u003e \u003cp\u003e7.9 Noniterative Methods for Resolution.\u003c\/p\u003e \u003cp\u003e7.10 Iterative Methods for Resolution.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 Equilibria, Reactions and Process Analytics.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e8.1 The Study of Equilibria using Spectroscopy.\u003c\/p\u003e \u003cp\u003e8.2 Spectroscopic Monitoring of Reactions.\u003c\/p\u003e \u003cp\u003e8.3 Kinetics and Multivariate Models for the Quantitative Study of Reactions\u003c\/p\u003e \u003cp\u003e8.4 Developments in the Analysis of Reactions using On-line Spectroscopy.\u003c\/p\u003e \u003cp\u003e8.5 The Process Analytical Technology Initiative.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 Improving Yields and Processes Using Experimental Designs.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e9.1 Introduction.\u003c\/p\u003e \u003cp\u003e9.2 Use of Statistical Designs for Improving the Performance of Synthetic Reactions.\u003c\/p\u003e \u003cp\u003e9.3 Screening for Factors that Influence the Performance of a Reaction.\u003c\/p\u003e \u003cp\u003e9.4 Optimizing the Process Variables.\u003c\/p\u003e \u003cp\u003e9.5 Handling Mixture Variables using Simplex Designs.\u003c\/p\u003e \u003cp\u003e9.6 More about Mixture Variables.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 Biological and Medical Applications of Chemometrics.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e10.1 Introduction.\u003c\/p\u003e \u003cp\u003e10.2 Taxonomy.\u003c\/p\u003e \u003cp\u003e10.3 Discrimination.\u003c\/p\u003e \u003cp\u003e10.4 Mahalanobis Distance.\u003c\/p\u003e \u003cp\u003e10.5 Bayesian Methods and Contingency Tables.\u003c\/p\u003e \u003cp\u003e10.6 Support Vector Machines.\u003c\/p\u003e \u003cp\u003e10.7 Discriminant Partial Least Squares.\u003c\/p\u003e \u003cp\u003e10.8 Micro-organisms.\u003c\/p\u003e \u003cp\u003e10.9 Medical Diagnosis using Spectroscopy.\u003c\/p\u003e \u003cp\u003e10.10 Metabolomics using Coupled Chromatography and Nuclear Magnetic Resonance.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11 Biological Macromolecules.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e11.1 Introduction.\u003c\/p\u003e \u003cp\u003e11.2 Sequence Alignment and Scoring Matches.\u003c\/p\u003e \u003cp\u003e11.3 Sequence Similarity.\u003c\/p\u003e \u003cp\u003e11.4 Tree Diagrams.\u003c\/p\u003e \u003cp\u003e11.5 Phylogenetic Trees.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e12 Multivariate Image Analysis.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e12.1 Introduction.\u003c\/p\u003e \u003cp\u003e12.2 Scaling Images.\u003c\/p\u003e \u003cp\u003e12.3 Filtering and Smoothing the Image.\u003c\/p\u003e \u003cp\u003e12.4 Principal Components for the Enhancement of Images.\u003c\/p\u003e \u003cp\u003e12.5 Regression of Images.\u003c\/p\u003e \u003cp\u003e12.6 Alternating Least Squares as Employed in Image Analysis.\u003c\/p\u003e \u003cp\u003e12.7 Multiway Methods In Image Analysis.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e13 Food.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e13.1 Introduction.\u003c\/p\u003e \u003cp\u003e13.2 How to Determine the Origin of a Food Product using Chromatography.\u003c\/p\u003e \u003cp\u003e13.3 Near Infrared Spectroscopy.\u003c\/p\u003e \u003cp\u003e13.4 Other Information.\u003c\/p\u003e \u003cp\u003e13.5 Sensory Analysis: Linking Composition to Properties.\u003c\/p\u003e \u003cp\u003e13.6 Varimax Rotation.\u003c\/p\u003e \u003cp\u003e13.7 Calibrating Sensory Descriptors to Composition.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eIndex.\u003c\/b\u003e\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Chemistry [\u003ca title=\"See our other books on Chemistry\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Chemistry%20%5BPN%5D%22\"\u003ePN\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Wiley","offers":[{"title":"Brand New","offer_id":52255788761368,"sku":"9780470016862","price":87.59,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9780470016862.jpg?v=1781274140","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/applied-chemometrics-for-scientists-hardback-9780470016862","provider":"Freshly Printed Books","version":"1.0","type":"link"}