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
Changes and Improvements
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
MLR
PCA
Factor Analysis
PLS
Neural Networks
Classification and Discrimination
Classification vs. Calibration
Discrimination and Classification
LDA
Fisher's Ratio
Linear Discriminant Analysis
KNN classification
Cluster Analysis
Self Organizing Maps
Math Background
Exercises
Appendix
Last Update: 2012-10-08