Multivariate Analysis of Quality

Data analysis is a vital part of science today, and in assessing quality, multivariate analysis is often necessary in order to avoid loss of essential information. Martens provides a powerful and versatile methodology that enables researchers to design their investigations and analyse data effectively and safely, without the need for formal statistical training.<br /> * Offers an introductory explanation of multivariate analysis by graphical ‘soft modelling'<br /> * Minimises mathematics, providing all technical details in the appendix<br /> * Presents itself in an accessible style with cartoons, self-assessment questions and a wide range of practical examples<br /> * Demonstrates the methodology for various types of quality assessment, ranging from human quality perception via industrial quality monitoring to environmental quality and its molecular basis<br /> All data sets available FREE online on “Chemometrics World” (http://www.wiley.co.uk/wileychi/chemometrics)