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

 Nabla operator Vector Operators Nalimov test Nalimov Test natural brain Natural Brains natural dichotomy Dichotomous Features natural spline Curve Fitting by Splines neural network Multi-layer Perceptron ANN - Back Propagation of Errors Natural Brains Common Questions about ANNs Neural Networks - Extrapolation Generalization and Overtraining Growing Neural Networks ANN - Introduction Kohonen Networks Models of ANNs Neural Networks - Model Selection RBF Neural Networks RBF Network as Kernel Estimator ANN - Recurrent Networks Taxonomy of ANNs ANN - Single Processing Unit Literature References - Neural Networks Time Series - Neural Network Models new observations MLR - Estimation of New Observations NIPALS algorithm The NIPALS Algorithm NMR Time-Averaging noise Physical Origin of Noise Types of Noise Signal and Noise noise addition Noise Addition noisy signals Signal and Noise nominal scale Level of Measurement non-linear model Exercise - Modeling the NOx Exhaust of an Experimental Motor non-linear regression Exercise - Estimation of fish weight from size non-linear vs. linear Linear vs. - Nonlinear Models non-parametric tests Distribution-Free Tests Parametric and Non-Parametric Tests normal distribution Central Limit Theorem Normal Distribution Relationship Between Various Distributions Exercise - Design a data set showing a normal probability density function Probability Plot Shapiro-Wilk Test normality Kolmogorov-Smirnov One-Sample Test Test for Normality Chi-Square Test notch filter Types of Filters NOx exhaust Exercise - Modeling the NOx Exhaust of an Experimental Motor null hypothesis Hypothesis Testing null matrix Zero Matrix numerical methods Literature References - Numerical Methods