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
Introduction
Estimation of New Observations
MLR and Collinearity
Variance Inflation Factor
Coefficient of Determination and MLR
MLR - Analysis of Variance
Ridge Regression
Maximum Likelihood
Logistic Regression
PCA
Factor Analysis
PLS
Neural Networks
Classification and Discrimination
Math Background
Exercises
Appendix