Statistical and Multivariate Analysis in Material Science: 1st Edition (Hardback) book cover

Statistical and Multivariate Analysis in Material Science

1st Edition

Edited by Giorgio Luciano

CRC Press

360 pages | 4 Color Illus.

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Hardback: 9781138196308
pub: 2020-03-31
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Description

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.

About the Editor

Giorgio Luciano

Subject Categories

BISAC Subject Codes/Headings:
MAT029000
MATHEMATICS / Probability & Statistics / General
SCI013010
SCIENCE / Chemistry / Analytic
SCI086000
SCIENCE / Life Sciences / General
TEC021000
TECHNOLOGY & ENGINEERING / Material Science