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

Index N...

Nabla operatorVector Operators
Nalimov testNalimov Test
natural brainNatural Brains
natural dichotomyDichotomous Features
natural splineCurve Fitting by Splines
neural networkMulti-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 observationsMLR - Estimation of New Observations
NIPALS algorithmThe NIPALS Algorithm
noisePhysical Origin of Noise
 Types of Noise
 Signal and Noise
noise additionNoise Addition
noisy signalsSignal and Noise
nominal scaleLevel of Measurement
non-linear modelExercise - Modeling the NOx Exhaust of an Experimental Motor
non-linear regressionExercise - Estimation of fish weight from size
non-linear vs. linearLinear vs. - Nonlinear Models
non-parametric testsDistribution-Free Tests
 Parametric and Non-Parametric Tests
normal distributionCentral Limit Theorem
 Normal Distribution
 Relationship Between Various Distributions
 Exercise - Design a data set showing a normal probability density function
 Probability Plot
 Shapiro-Wilk Test
normalityKolmogorov-Smirnov One-Sample Test
 Test for Normality
 Chi-Square Test
notch filterTypes of Filters
NOx exhaustExercise - Modeling the NOx Exhaust of an Experimental Motor
null hypothesisHypothesis Testing
null matrixZero Matrix
numerical methodsLiterature References - Numerical Methods