Statistical and Multivariate Analysis in Material Science
- Available for pre-order. Item will ship after December 31, 2020
This book introduces univariate and multivariate statistics applied to material science using an easy-to-follow, non-mathematical approach. Case studies and tutorials are provided to assist readers with the application of the techniques described utilizing their own data. The book will be a valuable tool for scientists and advanced students specializing in material science, corrosion science, and chemometrics.
Table of Contents
Introduction. Fundamental Statistical Concepts. Distributions. Hypothesis Tests. T-test. F-test. Extreme value statistics. Case studies. Design of Experiment. Statistical Principles in Experimental Design. Factorial design. Fractional Factorial design. Special Design. Case studies. Pattern Recognition. Principal Component Analysis. Case studies. Cluster analysis. Case studies. Multiway Pattern Recognition. Case studies. Regression Methods. Linear Regression. Multiple Linear Regression. Principal component regression. Partial Least Squares. Model Validation. Case Studies. Appendix.