The present work is an introductory text in statistics, addressed to researchers and students in the field of material science. It aims to give the readers basic knowledge on how statistical reasoning is exploitable in this field, improving their knowledge of statistical tools and helping them to carry out statistical analyses and to interpret the results. It also focuses on establishing a consistent multivariate workflow starting from a correct design of experiment followed by a multivariate analysis process.
Table of Contents
STATISTICS BASICS. Statistics Basics. ESSENTIAL MULTIVARIATE STATISTICS. Design of Experiment. Pattern Recognition. Calibration. Case Studies. Appendices.
Giorgio Luciano is a researcher at the National Research Council of Italy at the "Giulio Natta" Institute of Chemical Sciences and Technologies (Scitec-Cnr). He started to be interested in multivariate statistics techniques applied to data from physic-chemical analysis methods 15 years ago during his Ph.D. and to apply to material science ever since. Enthusiast about programming in R and Python in order to write tools for everyday laboratory activities.