Statistical Data Analysis
- ID: 2719970
- May 2011
- 800 Pages
- Elsevier Science and Technology
Over 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 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 a collection of experimental tasks. Methods suitable for extreme or small and large datasets are described.
- Presents a combination of individual topics in one complete volume featuring statistical analysis of univariate and multivariate data
- Interspersed throughout with solved problems and experimental tasks suitable for extreme or small and large datasets
- Features the interpretation of results based on the comprehensive information about data behaviour and validity of used assumptions
Errors in instrumental measurements
The exploratory and confirmatory analysis of univariate data
Statistical analysis of univariate data
Statistical Analysis of Multivariate Data (MDA)
Analysis of variance (ANOVA)
Linear regression models
Nonlinear regression models.
Milan Meloun is Professor of Chemometrics at Department of Analytical Chemistry, Faculty of Chemical Technology, Technical University of Liberec, Czech Republic.