Fundamentals of Statistics
contains material of various lectures and courses of H. Lohninger on statistics, data analysis and chemometrics...
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Overview
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