2D Bar/Column Plots 2D Box Plots 2D Box Plots - Box Whiskers 2D Box Plots - Boxes 2D Box Plots - Columns 2D Box Plots - Error Bars 2D Box Plots - Whiskers 2D Categorized Detrended Probability Plots 2D Categorized Half-Normal Probability Plots 2D Categorized Normal Probability Plots 2D Detrended Probability Plots 2D Histograms 2D Histograms - Hanging Bars 2D Histograms - Double-Y 2D Line Plots 2D Line Plots - Aggregrated 2D Line Plots - Double-Y 2D Line Plots - Multiple 2D Line Plots - Regular 2D Line Plots - XY Trace 2D Range Plots - Error Bars 2D Matrix Plots 2D Matrix Plots - Columns 2D Matrix Plots - Lines 2D Matrix Plots - Scatterplot 2D Normal Probability Plots 2D Probability-Probability Plots 2D Probability-Probability Plots - Categorized 2D Quantile-Quantile Plots 2D Quantile-Quantile Plots - Categorized 2D Scatterplot 2D Scatterplot - Categorized Ternary Graph 2D Scatterplot - Double-Y 2D Scatterplot - Frequency 2D Scatterplot - Multiple 2D Scatterplot - Regular 2D Scatterplot - Voronoi 2D Sequential/Stacked Plots 2D Sequential/Stacked Plots - Area 2D Sequential/Stacked Plots - Column 2D Sequential/Stacked Plots - Lines 2D Sequential/Stacked Plots - Mixed Line 2D Sequential/Stacked Plots - Mixed Step 2D Sequential/Stacked Plots - Step 2D Sequential/Stacked Plots - Step Area 2D Ternary Plots - Scatterplot

3D Bivariate Histogram 3D Box Plots 3D Box Plots - Border-style Ranges 3D Box Plots - Double Ribbon Ranges 3D Box Plots - Error Bars 3D Box Plots - Flying Blocks 3D Box Plots - Flying Boxes 3D Box Plots - Points 3D Categorized Plots - Contour Plot 3D Categorized Plots - Deviation Plot 3D Categorized Plots - Scatterplot 3D Categorized Plots - Space Plot 3D Categorized Plots - Spectral Plot 3D Categorized Plots - Surface Plot 3D Deviation Plots 3D Range Plot - Error Bars 3D Raw Data Plots - Contour/Discrete 3D Scatterplots 3D Scatterplots - Ternary Graph 3D Ternary Plots 3D Space Plots 3D Ternary Plots - Categorized Scatterplot 3D Ternary Plots - Categorized Space 3D Ternary Plots - Categorized Surface 3D Ternary Plots - Categorized Trace 3D Ternary Plots - Contour/Areas 3D Ternary Plots - Contour/Lines 3D Ternary Plots - Deviation 3D Ternary Plots - Space 3D Trace Plots

Aberration, Minimum Abrupt Temporary Impact Abrupt Permanent Impact Accept-Support Testing Accept Threshold Activation Function (in Neural Networks) Additive Season, Damped Trend Additive Season, Exponential Trend Additive Season, Linear Trend Additive Season, No Trend Adjusted means AID Algorithm Alpha Anderson-Darling Test ANOVA Append a network Append Cases and/or Variables Application Programming Interface (API) Arrow Assignable Causes and Actions Asymmetrical Distribution AT&T Runs Rules Attribute (attribute variable) Augmented Product Moment Matrix Autoassociative Network Automatic Network Designer

B Coefficients Back Propagation Banner Tables Bar/Column Plots, 2D Bar Dev Plot Bar Left Y Plot Bar Right Y Plot Bar Top Plot Bar X Plot Bartlett Window Batch algorithms inSTATISTICA Neural NetworksBayesian Networks Best Network Retention Beta Coefficients Beta Distribution Bimodal Distribution Binomial Distribution Bivariate Normal Distribution Boundary Case Box Plot/Medians (Block Stats Graphs) Box Plot/Means (Block Stats Graphs) Box Plots, 2D Box Plots, 2D - Box Whiskers Box Plots, 2D - Boxes Box Plots, 2D - Whiskers Box Plots, 3D Box Plots, 3D - Border-style Ranges Box Plots, 3D - Double Ribbon Ranges Box Plots, 3D - Error Bars Box Plots, 3D - Flying Blocks Box Plots, 3D - Flying Boxes Box Plots, 3D - Points Box-Ljung Q Statistic Breakdowns Breaking Down (Categorizing) Brown-Forsythe Test for Homogeneity of Variances Brushing Burt Table

Canonical Correlation CART Cartesian Coordinates Casewise MD Deletion 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 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 Trees Cluster Analysis Cluster Diagram 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 limits Confusion Matrix in Neural Networks Conjugate Gradient Descent Contour/Discrete Raw Data Plot Contour Plot Control, Quality Cook's distance Correlation Correlation, Intraclass Correlation (Pearson r) Correspondence Analysis Cpk, Cp, Cr Cross Entropy in Neural Networks Cross Verification in Neural Networks Cross-Validation Crossed Factors Crosstabulations

Daniell (or Equal Weight) Window Data Mining Data Reduction Data Rotation (in 3D space) Data Warehousing Deleted residual Delta-Bar-Delta Dependent vs. Independent Variables Derivative-free Function Minimization Algorithms Design, Experimental Desirability Profiles Detrended Probability Plots Deviation Deviation Plot (Ternary Graph) Deviation Plots, 3D DFFITS Differencing (in Time Series) Dimensionality Reduction Discrepancy Function Discriminant Function Analysis DOE Double-Y Histograms Double-Y Line Plots Double-Y Scatterplot Drilling-down (Categorizing)

Ellipse, Prediction Area and Range Endogenous Variable Enterprise-Wide Software Systems Entropy Epoch in Neural Networks Error Bars (2D Box Plots) Error Bars (2D Range Plots) Error Bars (3D Box Plots) Error Bars (3D Range Plots) Error Function in Neural Networks Exogenous Variable Experimental Design Explained variance Exponential Distribution Exponential Family of Distributions Exponential Function Exponentially Weighted Moving Average Line Extrapolation Extreme Values (in Box Plots) Extreme Value Distribution

F Distribution FACT Factor Analysis Fast Analysis of Shared Multidimensional Information (FASMI) Feedforward Networks Fixed Effects (in ANOVA) Free Parameter Frequencies, Marginal Frequency Scatterplot Frequency Tables Function Minimization Algorithms

Gamma Distribution Gaussian Distribution General ANOVA/MANOVA Generalization in Neural Networks Generalized Regression Neural Network (GRNN) Genetic Algorithm Genetic Algorithm Input Selection Geometric Distribution Geometric Mean Gradient Gradient Descent Gradual Permanent Impact GRNN (Generalized Regression Neural Network) Group Control Charts Grouping (Categorizing) Grouping Variable Groupware

Half-Normal Probability Plots Half-Normal Probability Plots - Categorized Hamming Window Hanging Bars Histogram Harmonic Mean Hazard Hazard Rate Heuristic Heywood Case Hidden Layers in Neural Networks Histograms, 2D Histograms, 2D - Double-Y Histograms, 2D - Hanging Bars Histograms, 2D - Multiple Histograms, 2D - Regular Histograms, 3D Bivariate Histograms, 3D - Box Plots Histograms, 3D - Contour/Discrete Histograms, 3D - Contour Plot Histograms, 3D - Spikes Histograms, 3D - Surface Plot Hollander-Proschan Test Hooke-Jeeves Pattern Moves HTM HTML Hyperbolic tangent (tanh) Hyperplane Hypersphere

Icon Plots Icon Plots - Chernoff Faces Icon Plots - Columns Icon Plots - Lines Icon Plots - Pies Icon Plots - Polygons Icon Plots - Profiles Icon Plots - Stars Icon Plots - Sun Rays Independent vs. Dependent Variables Industrial Experimental Design Inertia Interactions Interpolation Interval Scale Intraclass Correlation Coefficient Invariance Under a Constant Scale Factor (ICSF) Invariance Under Change of Scale (ICS) Isotropic Deviation Assignment Item and Reliability Analysis

JPEG Jogging Weights Johnson Curves JPG

Kernel functions K-Means algorithm K-Nearest algorithm Kohonen Networks Kohonen Training Kurtosis

Lambda Prime Laplace Distribution Latent Variable Layered Compression Learning Rate in Neural Networks Least Squares (2D graphs) Least Squares (3D graphs) Least Squares Estimator Left Censoring Levenberg-Marquardt algorithm Levene's Test for Homogeneity of Variances Leverage values Life Table Life, Characteristic Line Plots, 2D Line Plots, 2D - Aggregrated Line Plots, 2D (Case Profiles) Line Plots, 2D - Double-Y Line Plots, 2D - Multiple Line Plots, 2D - Regular Line Plots, 2D - XY Trace Linear (2D graphs) Linear (3D graphs) Linear Activation function Linear Modeling Linear Units Lines (Icon Plot) Lines (Matrix Plot) Lines Sequential/Stacked Plot Local Minima Logarithmic Function Logistic Distribution Logistic Function Log-Linear Analysis Log-normal Distribution Lookahead in Neural Networks Loss Function Loss Matrix

Mahalanobis distance Mann-Scheuer-Fertig Test Mass Manifest Variable MANOVA Marginal Frequencies Matching Moments Method Matrix Plots Matrix Plots - Columns Matrix Plots - Lines Matrix Plots - Scatterplot Maximum Likelihood Loss Function Maximum Likelihood Method Maximum Unconfounding MD (Missing data) Mean Mean/S.D. algorithm in Neural Networks Mean, Geometric Mean, Harmonic Mean Substitution of Missing Data Means, Adjusted Means, Unweighted Median Method of Matching Moments Minimax Minimum Aberration Mining, Data Missing values Mixed Line Sequential/Stacked Plot Mixed Step Sequential/Stacked Plot Mode Monte Carlo MPatt Bar Multidimensional Scaling Multilayer Perceptrons Multimodal Distribution Multiple Censoring Multiple Dichotomies Multiple Histogram Multiple Line Plots Multiple Scatterplot Multiple R Multiple Regression Multiple Response Variables Multiple-response Tables Multiplicative Season, Damped Trend Multiplicative Season, Exponential Trend Multiplicative Season, Linear Trend Multiplicative Season, No Trend Multi-way Tables

n Point Moving Average Line N-in-One encoding Negative Correlation Negative Exponential (2D graphs) Negative Exponential (3D graphs) Neighborhood in Neural Networks Nested Factors Nested Sequence of Models Neural Networks Neuron Noise Addition in Neural Networks Nominal Scale Nominal Variables Nonlinear Estimation Nonparametrics Non-outlier range Nonseasonal, Damped Trend Nonseasonal, Exponential Trend Nonseasonal, Linear Trend Nonseasonal, No Trend Normal Distribution Normal Distribution, Bivariate Normal Fit Normal Probability Plots (Computation Note) Normal Probability Plots Normalization

Odds Ratio On-Line Analytic Processing (OLAP) One-of-N Encoding in Neural Networks. One-Off in Neural Networks. One-way Tables Operating Characteristic Curves Ordinal Scale Outer Arrays Outliers Outliers (in Box Plots) Overfitting Overlearning in Neural Networks.

p-level (Statistical Significance) Pairwise Deletion of Missing Data vs. Mean Substitution Pairwise MD Deletion Pareto Distribution Partial Correlation Parzen Window Pearson Correlation Pearson Curves Penalty Functions Percentiles Pie Chart - Counts Pie Chart - Multi-pattern Bar Pie Chart - Values Pies (Icon Plots) PNN (Probabilistic Neural Networks) Poisson Distribution Polar Coordinates Polygons (Icon Plots) Polynomial Positive Correlation Post hoc Comparisons Post Synaptic Potential (PSP) Function Power Goal Ppk, Pp, Pr Process Capability Indices Process Performance Indices Prediction Interval Ellipse Prediction Profiles Predictive Mapping Principal Components Analysis Prior Probabilities Probabilistic Neural Networks (PNN) Probability Plots - Detrended Probability Plots - Normal Probability Plots - Half-Normal Probability-Probability Plots Probability-Probability Plots - Categorized Process Analysis Profiles, Desirability Profiles, Prediction Profiles (Icon Plots) Pruning (in Classification Trees) Pseudo-components Pseudo-Inverse Algorithm PSP (Post Synaptic Potential) Function

Quadratic Quality Quality Control Quantiles Quantile-Quantile Plots Quantile-Quantile Plots - Categorized Quartile Range Quartiles Quasi-Newton Method QUEST Quick Propagation

r (Pearson Correlation Coefficient) Radial Basis Functions Random Effects (in Mixed Model ANOVA) Range Ellipse Range Plots - Boxes Range Plots - Columns Range Plots - Whiskers Ratio Scale Raw Data, 3D Scatterplot Raw Data Plots, 3D - Contour/Discrete Raw Data Plots, 3D - Spikes Raw Data Plots, 3D - Surface Plot Rayleigh Distribution Regression Regression, Multiple Regular Histogram Regular Line Plots Regular Scatterplot Regularization in Neural Networks Reject Threshold Relative Function Change Criterion Reliability Reliability and Item Analysis Residual Resolution Response Surface Right Censoring RMS (Root Mean Squared) Error Root Mean Square Standardized Effect (RMSSE) Rosenbrock Pattern Search Rotating Coordinates, Method of Runs Tests (in Quality Control)

S.D. Ratio Scalable Software Systems Scaling Scatterplot, 2D Scatterplot, 2D - Categorized Ternary Graph Scatterplot, 2D - Double-Y Scatterplot, 2D - Frequency Scatterplot, 2D - Multiple Scatterplot, 2D - Regular Scatterplot, 2D - Voronoi Scatterplot, 3D Scatterplot, 3D - Ternary Graph Scree Plot, Scree Test Sequential Contour Plot, 3D Sequential/Stacked Plots, 2D Sequential/Stacked Plots, 2D - Area Sequential/Stacked Plots, 2D - Column Sequential/Stacked Plots, 2D - Lines Sequential/Stacked Plots, 2D - Mixed Line Sequential/Stacked Plots, 2D - Mixed Step Sequential/Stacked Plots, 2D - Step Sequential/Stacked Plots, 2D - Step Area Sequential Surface Plot, 3D Shewhart Control Charts Short Run Control Charts Shuffle data in Neural Networks Shuffle, Back Propagation in Neural Networks Sigmoid function Simplex algorithm Single Censoring Singular Value Decomposition Skewness Slicing (Categorizing) Smoothing SOFMs (Self-organizing feature maps; Kohonen Networks) Softmax Space Plots 3D Special Causes Spectral Plot Spikes (3D graphs) Spinning Data (in 3D space) Spline (2D graphs) Spline (3D graphs) Split Selection (for Classification Trees) Splitting (Categorizing) Spurious Correlations Square Root of the Signal to Noise Ratio (f) Standard Deviation Standard Error Standard Error of the Proportion Standard residual value Standardized DFFITS Standardized Effect (Es) Stars (Icon Plots) Stationary Series (in Time Series) Statistical Power Statistical Significance (p-level) Steepest Descent Iterations Steps Stopping Conditions Stopping Rule (in Classification Trees) Stub and Banner Tables Student's t Distribution Studentized Deleted Residuals Studentized Residuals Sum-squared error function Sun Rays (Icon Plots) Supervised Learning in Neural Networks Suppressor Variable Surface Plot (from Raw Data) Survival Analysis Survivorship Function Symmetric Matrix Symmetrical Distribution

t Distribution (Student's) Tables Tapering Ternary Plots, 2D - Scatterplot Ternary Plots, 3D Ternary Plots, 3D - Categorized Scatterplot Ternary Plots, 3D - Categorized Space Ternary Plots, 3D - Categorized Surface Ternary Plots, 3D - Categorized Trace Ternary Plots, 3D - Contour/Areas Ternary Plots, 3D - Contour/Lines Ternary Plots, 3D - Deviation Ternary Plots, 3D - Space THAID Threshold Time Series Time-Dependent Covariates Tolerance (in Multiple Regression) Topological Map Trace Plots, 3D Trellis Graphs Trimmed Means Tukey Window Two-State in Neural Networks Type I Censoring Type II Censoring Type I Error Rate

Unconfounding, Maximum Uniform Distribution Unimodal Distribution Unit Penalty Unsupervised Learning in Neural Networks Unweighted Means

Variance Variance Components (in Mixed Model ANOVA) Variance Inflation Factor (VIF) Voronoi Voronoi Scatterplot

Wald Statistic Warehousing, Data Weibull Distribution Weigend Regularization Weighted Least Squares Win Frequencies in Neural Networks Wire

X11 output: A 1. Original Series X11 output: A 2. Prior Monthly Adjustment Factors X11 output: A 3. Original Series Adjusted by Prior Monthly Adjustment Factors X11 output: A 4. Prior Trading Day Adjustment Factors X11 output: B 1. Prior Adjusted Series or Original Series X11 output: B 2. Trend-cycle X11 output: B 3. Unmodified S-I Differences or Ratios X11 output: B 4. Replacement Values for Extreme S-I Differences (Ratios) X11 output: B 5. Seasonal Factors X11 output: B 6. Seasonally Adjusted Series X11 output: B 7. Trend-cycle X11 output: B 8. Unmodified S-I Differences (Ratios) X11 output: B 9. Replacement Values for Extreme S-I Differences (Ratios) X11 output: B 10. Seasonal Factors X11 output: B 11. Seasonally Adjusted Series X11 output: B 13. Irregular Series X11 output: B 14. Extreme Irregular Values Excluded from Trading-day Regression X11 output: B 15. Preliminary Trading-day Regression X11 output: B 16. Trading-day Adjustment Factors Derived from Regression Coefficients X11 output: B 17. Preliminary Weights for Irregular Component X11 output: B 18. Trading-day Factors Derived from Combined Daily Weights X11 output: B 19. Original Series Adjusted for Trading-day and Prior Variation X11 output: C 1. Original Series Modified by Preliminary Weights and Adjusted for Trading-day and Prior Variation X11 output: C 2. Trend-cycle X11 output: C 4. Modified S-I Differences (Ratios) X11 output: C 5. Seasonal Factors X11 output: C 6. Seasonally Adjusted Series X11 output: C 7. Trend-cycle X11 output: C 9. Modified S-I Differences (Ratios) X11 output: C 10. Seasonal Factors X11 output: C 11. Seasonally Adjusted Series X11 output: C 13. Irregular Series X11 output: C 14. Extreme Irregular Values Excluded from Trading-day Regression X11 output: C 15. Final Trading-day Regression X11 output: C 16. Final Trading-day Adjustment Factors Derived from Regression X11 output: Coefficients X11 output: C 17. Final Weights for Irregular Component X11 output: C 18. Final Trading-day Factors Derived From Combined Daily Weights X11 output: C 19. Original Series Adjusted for Trading-day and Prior Variation X11 output: D 1. Original Series Modified by Final Weights and Adjusted for Trading-day and Prior Variation X11 output: D 2. Trend-cycle X11 output: D 4. Modified S-I Differences (Ratios) X11 output: D 5. Seasonal Factors X11 output: D 6. Seasonally Adjusted Series X11 output: D 7. Trend-cycle X11 output: D 8. Final Unmodified S-I Differences (Ratios) X11 output: D 9. Final Replacement Values for Extreme S-I Differences (Ratios) X11 output: D 10. Final Seasonal Factors X11 output: D 11. Final Seasonally Adjusted Series X11 output: D 12. Final Trend-cycle X11 output: D 13. Final Irregular X11 output: E 1. Modified Original Series X11 output: E 2. Modified Seasonally Adjusted Series X11 output: E 3. Modified Irregular Series X11 output: E 4. Differences (Ratios) of Annual Totals X11 output: E 5. Differences (Percent Changes) in Original Series X11 output: E 6. Differences (Percent Changes) in Final Seasonally Adjusted Series X11 output: F 1. MCD (QCD) Moving Average X11 output: F 2. Summary Measures X11 output: G 1. Chart X11 output: G 2. Chart X11 output: G 3. Chart X11 output: G 4. Chart

Yates Corrected Chi-square Year 2000 Compatibility