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 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