Fundamentals of Statistics
contains material of various lectures and courses of H. Lohninger on statistics, data analysis and chemometrics...
...click here for more
.
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
Factor Analysis
PLS
Neural Networks
Classification and Discrimination
Classification vs. Calibration
Discrimination and Classification
Classifier Performance
ROC Curve
LDA
KNN classification
Cluster Analysis
Self Organizing Maps
Math Background
Exercises
Appendix