Fundamentals of Statistics contains material of various lectures and courses of H. Lohninger on statistics, data analysis and chemometrics......click here for more.

Index

Copyright Introduction Basic Concepts General Processing Steps Univariate Data Statistical Tests Bivariate Data Multivariate Data Introduction 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 Natural Brains Introduction Mapping of Spaces Neural Networks - Model Selection Models of Neural Networks Taxonomy of ANNs Recurrent Networks Multilayer Perceptron Single Processing Unit Multi-layer Perceptron ANN - Back Propagation of Errors Kohonen Networks RBF Neural Networks Generalization and Overtraining Extrapolation Growing Neural Networks Common Questions about ANNs Classification and Discrimination Math Background Exercises Appendix

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Last Update: 2010-12-19