2-sample t-test | Two-Sample t-Test |

2-sample t-test, small sample size | Two-Sample t-Test - Small Sample Size |

3D plots | 3D Plots |

3D rotation | On-Screen 3D-Rotation |

abbreviations | Acronyms |

absolute frequency | Frequency |

acceptance region | One-Sided vs. Two-Sided Tests |

accuracy | Definitions of Quality Control |

| Random and Systematic Errors |

| Classifier Performance |

acronyms | Acronyms |

AD converter | Analog/Digital Conversion |

| Digitisation of Signals |

ADC | Analog/Digital Conversion |

| Digitisation of Signals |

addition | Matrix Addition and Subtraction |

addition of vectors | Addition of Vectors |

additivity rule | Additivity Rule |

adjusted goodness of fit | Coefficient of Determination and MLR |

agglomerative clustering | Agglomerative Clustering |

air temperature | Exercise - Determine time shift by autocorrelation |

alcohol content | Exercise - Probability of Observations |

algebra of expectations | Algebra of Expectations |

algebra of probabilities | Algebra of Probabilities |

alternative hypothesis | Hypothesis Testing |

amplitude | Fourier Series |

analog/digital conversion | Analog/Digital Conversion |

analysis of residuals | Analysis of Residuals |

analysis of variance | ANOVA - How to perform it |

| ANOVA |

| MLR - Analysis of Variance |

| ANOVA and Regression |

| Combination of Several Distributions |

analytical process | The Analytical Process |

Anderson-Darling test | Test for Normality |

ANN | 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 |

| ANN - Mapping of Spaces |

| 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 |

| Exercise - Modeling the NOx Exhaust of an Experimental Motor |

ANOVA | ANOVA - How to perform it |

| ANOVA |

| MLR - Analysis of Variance |

| ANOVA and Regression |

| Combination of Several Distributions |

anti-symmetric matrix | Transposed Matrix |

approximation | Literature References - Curve Fitting and Function Approximation |

| Extrapolation |

| Interpolation |

ARIMA | Time Series - Definition of ARIMA Models |

| Time Series - Establishing ARIMA models |

arithmetic mean | Mean |

ARMA | Time Series - Definition of ARIMA Models |

artificial dichotomy | Dichotomous Features |

artificial neural network | ANN - Introduction |

association | Contingency Table |

| Goodman and Kruskal's Gamma |

| Measures of Association - an Overview |

associative law | Calculating with Sets |

AUC | ROC Curve |

autocorrelation | Autocorrelation |

| Autocorrelation and Scatter Plots |

| Exercise - Determine time shift by autocorrelation |

| Uncorrelated Residuals - Durbin-Watson Test |

autocorrelation function | Autocorrelation Function |

autocorrelogram | Autocorrelation Function |

autoregressive models | Time Series - Definition of ARIMA Models |

autoscaling | Scaling of Data |

axioms of Kolmogorov | Algebra of Probabilities |