C
C&RT
Canonical Correlation
Cartesian Coordinates
Casewise MD Deletion
Categorical Dependent Variable
Categorical Predictor
Categorized Graphs
Categorized Plots, 2D - Detrended Probability Plots
Categorized Plots, 2D - Half-Normal Probability Plots
Categorized Plots, 2D - Normal Probability Plots
Categorized Plots, 2D - Probability-Probability Plots
Categorized Plots, 2D - Quantile-Quantile Plots
Categorized Plots, 3D - Contour Plot
Categorized Plots, 3D - Deviation Plot
Categorized Plots, 3D - Scatterplot
Categorized Plots, 3D - Space Plot
Categorized Plots, 3D - Spectral Plot
Categorized Plots, 3D - Surface Plot
Categorized 3D Scatterplot (Ternary graph)
Categorized Contour/Areas (Ternary graph)
Categorized Contour/Lines (Ternary graph)
Categorizing
Cauchy Distribution
Cause-and-Effect Diagram
Censoring (Censored Data)
Censoring, Left
Censoring, Multiple
Censoring, Right
Censoring, Single
Censoring, Type I
Censoring, Type II
CHAID
Characteristic Life
Chernoff Faces (Icon Plots)
Chi-square Distribution
Circumplex
City-Block Error Function (in Neural Networks)
City-block (Manhattan) distance
Classification
Classification (in Neural Networks)
Classification and Regression Trees
Classification by Labeled Exemplars (in Neural Networks)
Classification Statistics (in Neural Networks)
Classification Thresholds (in Neural Networks)
Classification Trees
Class Labeling (in Neural Networks)
Cluster Analysis
Cluster Diagram (in Neural Networks)
Cluster Networks (in Neural Networks)
Codes
Coding Variable
Coefficient of Determination
Column Sequential/Stacked Plot
Columns (Box Plot)
Columns (Icon Plot)
Common Causes
Communality
Complex Numbers
Conditioning (Categorizing)
Confidence Interval
Confidence Interval for the Mean
Confidence Interval vs. Prediction Interval
Confidence limits
Confidence Value (Association Rules)
Confusion Matrix (in Neural Networks)
Conjugate Gradient Descent (in Neural Networks)
Continuous Dependent Variable
Contour/Discrete Raw Data Plot
Contour Plot
Control, Quality
Cook's distance
Correlation
Correlation, Intraclass
Correlation (Pearson r)
Correlation Value (Association Rules)
Correspondence Analysis
Cpk, Cp, Cr
CRISP
Cross Entropy (in Neural Networks)
Cross Verification (in Neural Networks)
Cross-Validation
Crossed Factors
Crosstabulations
Cubic Spline Smoother
"Curse" of Dimensionality