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 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