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

 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