Fundamentals of Statistics
contains material of various lectures and courses of H. Lohninger on statistics, data analysis and chemometrics...
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Index
Editorial
Introduction
Basic Concepts
General Processing Steps
Univariate Data
Statistical Tests
Bivariate Data
Multivariate Data
Introduction
Survey on Multivariate Methods
Basic Knowledge
Experimental Design
Optimization
Modeling
Introduction
Multivariate Calibration
Modeling - An Example
Modeling with latent variables
Validation of Models
Multiple Regression
PCA
PCA
PCA - Different Forms
PCA - Loadings and Scores
Relations between Loadings, Scores and Original Data
PCA - Model Order
PCA of Transposed Matrices
Principal Component Regression
Application Example
Factor Analysis
PLS
Neural Networks
Classification and Discrimination
Math Background
Exercises
Appendix