Index S...

S/N ratio	Signal and Noise
	Time-Averaging
sample	Population and Sample
	Samples
sample space	Events and Sample Space
	Venn Diagram
sample&hold	Digitisation of Signals
sampling	The Data
	Representative Samples
sampling distributions	Sampling Distributions
sampling errors	Representative Samples
sampling frequency	Digitisation of Signals
sampling theorem	Sampling Theorem
Sarrus' rule	Matrix Determinants - Calculation of Order 2 and 3
Savitzky-Golay coefficients	Savitzky-Golay Filter - Coefficients
Savitzky-Golay filter	Savitzky-Golay Filter
	Savitzky-Golay Filter - Mathematical Details
scalar	Vectors - Introduction
scalar product	Scalar Product
scaling of data	Scaling of Data
scaling of the data	z-Transform
	T-Scores
scatter matrix	Scatter, Covariance, and Correlation Matrix
	PCA - Different Forms
scatter plot	Autocorrelation and Scatter Plots
	Scatter Plot
scedasticity	Scedasticity
scores	Factor Analysis
	PCA - Loadings and Scores
	Relations between Loadings, Scores and Original Data
scree plot	PCA - Model Order
search space	Phase Space
selection of variables	Predictive Ability
	Variable Selection - Stepwise Regression
	Variable Selection - Introduction
	Variable Selection - Principal Approach
selectivity	Definitions of Quality Control
	Selectivity and Specifity
self organizing map	Kohonen Networks
sensitivity	Sensitivity
	Classifier Performance
separabability of classes	Structure of Measured Data
serial correlation	Autocorrelation
	Uncorrelated Residuals - Durbin-Watson Test
sets	Calculating with Sets
Shapiro-Wilk test	Shapiro-Wilk Test
Shapiro-Wilk test	Test for Normality
signal-to-noise ratio	Coefficient of Variation
	Signal and Noise
	Time-Averaging
signals	Signals as Time Series
signed rank test	Wilcoxon Test for Paired Differences
significance	Level of Significance
	The Term "significant"
similar mineral waters	Exercise - Similar Mineral Waters
similarity	Distance and Similarity Measures
simplex algorithm	Simplex Algorithm
single linkage clustering	Minimal Spanning Tree
singular matrix	Matrix Inversion
singular value decomposition	Singular Value Decomposition
skew-symmetric matrix	Transposed Matrix
skewness	Skewness
smoothing	Savitzky-Golay Filter - Coefficients
SNR	Signal and Noise
soft model	Modeling
solid residues	Data Set - Solid Residues in Mineral Water
SOM	Kohonen Networks
Spearman's rank correlation	Spearman's Rank Correlation
specificity	Classifier Performance
specifity	Selectivity and Specifity
specivity	Definitions of Quality Control
spectrum	Time and Frequency
spikes	Physical Origin of Noise
splines	Curve Fitting by Splines
spurious correlation	Spurious Correlation
square matrix	Matrix Algebra - Fundamentals
square window	Windowing Function and FFT
stacked dot plot	Dot Plot
standard deviation	Chebyshev's Theorem
	Parameters
	Standard Deviation
standard normal probability density function	Normal Distribution
standardization	Scaling of Data
	z-Transform
	T-Scores
standardized skewness	Skewness
state space notation	Filters - Mathematical Background
stationary time series	Time Series - Trends
statistic	Population and Sample
statistical tests	Interpreting p values
	Kolmogorov-Smirnov One-Sample Test
	Test for Normality
	Outlier Tests - Basic Rules
	One-Sample t-Test - Large Samples
	One-Sample t-Test - Small Samples
	One Sample Chi-Square-Test
	Two-Sample t-Test - Large Samples
	Two-Sample t-Test - Small Sample Size
	Two-Sample F-Test
	Chi-Square Test
	Paired Experiments
	Distribution-Free Tests
	Hypothesis Testing
	Power of a Test
	Test: Correlation Coefficient
	Randomization Tests
	Rank Randomization Tests
	Wilcoxon Test for Paired Differences
	Literatur - Statistical Tests
	Uncorrelated Residuals - Durbin-Watson Test
	Runs Test
	Shapiro-Wilk Test
	Parametric and Non-Parametric Tests
statististical tests	Statististical Tests - Decision Tree
stem-and-leaf plots	Stem-and-Leaf Plots
stepwise regression	Variable Selection - Stepwise Regression
stochastic matrix	Stochastic and Regular Matrix
strontium concentration	Exercise - Comparing two sample means
structure of measured data	Structure of Measured Data
subsets	Complementary Sets and Subsets
subtraction	Matrix Addition and Subtraction
	Subtraction of Vectors
summation rule	Summation of Probabilities
sun block	Modeling - Example
survey on ANN models	Models of ANNs
SVD	Singular Value Decomposition
symmetric matrix	Transposed Matrix
systematic error	Random and Systematic Errors