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

## Index R...

 R-chart x- and R-Charts random error Random and Systematic Errors random experiment Random Experiment random number generators Random Number Generators random number sequence Runs Test random numbers Random Number Generators random sampling Random Sampling random variable Expectation Random Variable randomization tests Randomization Tests range scaling Scaling of Data rank Tied Observations rank correlation Spearman's Rank Correlation Kendall's Tau-a Goodman and Kruskal's Gamma rank of a matrix Rank of a Matrix PCA - Model Order rank randomization tests Rank Randomization Tests ratio scale Level of Measurement RBF network RBF Neural Networks RBF Network as Kernel Estimator reaction time Variability Exercise - Measure your reaction time Exercise - Testing the Reaction Time of a Person recall Classifier Performance receiver operating characteristics Classifier Performance ROC Curve recurrent network ANN - Recurrent Networks red noise Types of Noise red wines Data Set - Alcohol Concentration of Red Wines references Literature References - Survey regression MLR - Analysis of Variance Univariate Regression - Derivation of Equations Leverage Effect Literature References - Regression Analysis MLR and Collinearity Multiple Linear Regression - Introduction Regression - Introduction Analysis of Residuals Regression - Assumptions Regression - Coefficient of Determination Regression - Confidence Interval Curvilinear Regression Simple Regression - Summary History of the Term Regression Robust Regression Regression - Straight Line Exercise - Linear Regression Exercise - Weight Loss of Coins Exercise - Estimation of fish weight from size MLR - Estimation of New Observations Regression after Linearisation Weighted Regression regular matrix Matrix Inversion Stochastic and Regular Matrix rejection region One-Sided vs. Two-Sided Tests relative frequency Frequency relative humidity Exercise - Relative Humidity of US Cities Exercise - Create a Data Set with Outliers reliability Classifier Performance representative sample Samples Representative Samples resampling Randomization Tests residuals Residuals resolution of system description Phase Space response function Optimization - Introduction Optimization - Response Function Optimization - Visualization of the Response Function response variable Modeling ridge regression Ridge Regression right censored Censored Data RMS Quadratic Mean RMSEP Predictive Ability robust regression Robust Regression robust statistics Median robustness Robustness Definitions of Quality Control ROC Classifier Performance ROC curve ROC Curve root mean square Quadratic Mean rotation Matrix Multiplication On-Screen 3D-Rotation Vector Operators runs test Runs Test