Multivariate Analysis of Quality: An Introduction

Multivariate data analysis is a central tool whenever several variables need to be considered at the same time. The present book explains a powerful and versatile way to analyse data tables, suitable also for researchers without formal training in statistics. This method for extracting useful information from data is demonstrated for various types of quality assessment, ranging from human quality perception via industrial quality monitoring to health quality and its molecular basis. Key features include: ? Minimum mathematics; all technical details in appendix form ? Very accessible style with cartoons, self assessment questions and wide range of practical examples ? All data sets available FREE online on Chemometrics World (http://www.wiley.co.uk/wileychi/chemometrics). Essential reading for researchers who need data analysis in practice, it will be of particular interest to chemometricians, sensometricians and food scientists already familiar with Harald?s previous book. The book is written with ISO certified businesses and laboratories in mind, to enhance Total Quality Management (TQM). As yet there are no clear guidelines for realistic data analysis of quality in complex systems – this volume bridges the gap.