Index C...

c-chart	p- and c-Charts
calculation of quartiles	Quartile
calibration	Calibration
	Classification vs. Calibration
	Multivariate Calibration
calibration function	Definitions of Quality Control
causal model	Modeling
causality	Correlation and Causality
central limit theorem	Central Limit Theorem
Challenger disaster	Correlation - Challenger disaster
chance correlation	Chance Correlation
	Exercise - Chance Correlation
characteristical equation	Eigenvectors and Eigenvalues - Advanced Discussion
charts	Graphing Standards
Chebyshev's theorem	Chebyshev's Theorem
chemical structures	Exercise - Estimation of Boiling Points from Chemical Structure
	Exercise - Estimation of Henry's Constant from Chemical Structure
	Exercise - The Effect of Collinear Variables on MLR Models
chemometrics	Literature References - Chemometrics
	Chemometrics - Introduction
chi-square distribution	Chi-Square Distribution
chi-square test	One Sample Chi-Square-Test
	Chi-Square Test
city block distance	Distance and Similarity Measures
class width	Histograms
classification	Classification vs. Calibration
	Discrimination and Classification
	KNN classification
	Literature References - Cluster Analysis, Classification
	Exercise - Classification of unknown wine samples by PCA
cluster analysis	Agglomerative Clustering
	Cluster Analysis
	Literature References - Cluster Analysis, Classification
	Exercise - Similar Mineral Waters
	k-Means Clusteranalyse
coefficient of determination	Regression - Coefficient of Determination
coefficient of variation	Coefficient of Variation
coefficients, Savitzky-Golay	Savitzky-Golay Filter - Coefficients
coins	Data Set - Weights of Coins
collinear variables	Exercise - The Effect of Collinear Variables on MLR Models
collinearity	MLR and Collinearity
combination	Counting Rules
combination of distributions	Combination of Several Distributions
common questions on ANNs	Common Questions about ANNs
communicating tubes	Mean
commutative law	Calculating with Sets
comparing means	One-Sample t-Test - Large Samples
	Comparing means
complementary events	Complementary Sets and Subsets
conditional probability	Bayesian Rule
	Conditional Probability
	Independent Events
confidence interval	MLR - Analysis of Variance
	Confidence Interval of the Mean
	Regression - Confidence Interval
	MLR - Estimation of New Observations
confounded variables	Confounded Variables
control charts	Control Charts
	p- and c-Charts
	x- and R-Charts
convolution	Convolution - Introduction
	Convolution - Mathematical Details
	Filters - Mathematical Background
Copyright	Copyright
correlation	Convolution - Mathematical Details
	Correlation
	Autocorrelation
	Correlation and Causality
	Correlation - Challenger disaster
	Pearson's Correlation Coefficient
	Distribution of the Correlation Coefficient
	Examples of Correlations
	Covariance
	Scatter, Covariance, and Correlation Matrix
	Test: Correlation Coefficient
	Exercise - Design a data set with predefined correlations
correlation coefficient	Correlation
	Pearson's Correlation Coefficient
	Distribution of the Correlation Coefficient
	Spearman's Rank Correlation
	Test: Correlation Coefficient
correlation matrix	Scatter, Covariance, and Correlation Matrix
	PCA - Different Forms
counting rules	Counting Rules
covariance	Covariance
covariance matrix	Scatter, Covariance, and Correlation Matrix
	PCA - Different Forms
cross-validation	Cross-Validation
	Validation of Models
cumulative frequency distribution	Cumulative Frequency Distribution
curve fitting	Literature References - Curve Fitting and Function Approximation
	Exercise - Calculate a polynomial fit by means of MLR
	Curve Fitting by Splines
	Curve Fitting
	Curve Fitting by Polynomials
curvilinear regression	Curvilinear Regression