Meloun M., Militky J. Statistical Data Analysis: A Practical Guide

Woodhead Publishing, 2011. — 800 p. — ISBN: 0857091093, 9780857091093Over the past decade, computer supported data analysis by statistical methods has been one of the fastest growth areas in chemometrics, biometrics and other related branches of natural, technical and social sciences. This has been particularly strongly supported by the development of exploratory data analysis, testing assumptions about data, model and statistical methods and computer intensive techniques. This book presents a combination of individual topics with solved problems and collection of experimental tasks. Methods suitable for extreme or small and large datasets are described. The interpretation of results is based on the comprehensive information about data behavior and validity of used assumptions.Milan Meloun is Professor of Chemometrics at Department of Analytical Chemistry, Faculty of Chemical Technology, Technical University of Liberec, Czech Republic.
J Militky is a professor with the Department of Textile Materials, Faculty of Textile Engineering at the Technical University of Liberec, Czech Republic.Errors in instrumental measurements
The exploratory and confirmatory analysis of univariate data
Statistical analysis of univariate data
Statistical analysis of multivariate data
Analysis of variance
Linear regression models
Correlation
Nonlinear Regression Models