Nabla operator | Vector Operators |

Nalimov-Test | Nalimov-Test |

natural brain | Natural Brains |

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 |

| Taxonomy 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 scales | Scales |

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 |

normal distribution | Central Limit Theorem |

| Normal Distribution |

| Relationship Between Various Distributions |

| Exercise - Design a data set showing a normal probability density function |

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 |

numerical methods | Literature References - Numerical Methods |