Statistical and Multivariate Analysis in Material Science

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.

List of contents

STATISTICS BASICS. Statistics Basics. ESSENTIAL MULTIVARIATE STATISTICS. Design of Experiment. Pattern Recognition. Calibration. Case Studies. Appendices.

About the author

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.

Summary

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.

Product details

• Authors: Giorgio Luciano
• Assisted by: Giorgio Luciano (Editor)
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Paperback / Softback
• Released: 15.11.2022
• EAN: 9780367775834
• ISBN: 978-0-367-77583-4
• No. of pages: 276
• Subjects: Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics; Non-fiction book > Nature, technology > Natural science; SCIENCE / Life Sciences / General, MATHEMATICS / Probability & Statistics / General, SCIENCE / Chemistry / Analytic, Mathematics, Materials science, Analytical Chemistry, TECHNOLOGY & ENGINEERING / Materials Science / General