StatSoft's flagship product line is the STATISTICA suite of analytics software products. STATISTICA provides the most comprehensive array of data analysis, data management, data visualization and data mining procedures. Its techniques include the widest selection of predictive modeling, clustering, classification and exploratory techniques in one software platform.

STATISTICA analytic capabilities are complemented by a host of unique features, including:

• Database Querying
• Data Visualization
• Automation using STATISTICA Visual Basic
• Full integration with the R language

Any of the products and modules listed below can be deployed within the Enterprise and Web-Based STATISTICA server products.

STATISTICA Base

Descriptive statistics, breakdowns, exploratory data analysis Correlations Basic Statistics from Results Spreadsheets (Tables) Interactive Probability Calculator T-Tests Frequency Tables, Crosstabulation Tables, Stub-and-Banner Tables, Multiple Response Analysis Multiple Regression Methods Nonparametric Statistics ANOVA Distribution Fitting

STATISTICA Advanced

STATISTICA Base   (Includes all modules listed above.) Advanced Linear/Non-Linear Models Variance Components and Mixed Model ANOVA/ANCOVA Survival/Failure Time Analysis General Nonlinear Estimation (and Quick Logit/Probit Regression) Log-Linear Analysis of Frequency Tables Time Series Analysis/Forecasting Structural Equation Modeling/Path Analysis (SEPATH) General Linear Models (GLM) General Regression Models (GRM) Generalized Linear Models (GLZ) General Partial Least Squares Models (PLS) Multivariate Exploratory Techniques Cluster Analysis Techniques Factor Analysis Principal Components & Classification Analysis Canonical Correlation Analysis Reliability/Item Analysis Classification Trees Correspondence Analysis Multidimensional Scaling Discriminant Analysis General Discriminant Analysis Models (GDA) Power Analysis Brief Overview Detailed Description List of Tests

STATISTICA QC

STATISTICA Base   (Includes all modules listed above.) Quality Control Charts Standard charts Interactive, analytic brushing and labeling of points Assigning causes and actions Flexible, customizable alarm notification system supervisor and operator mode; password protection organization of data Short run charts Chart options and statistics Non-normal control limits and process capability and performance indices Other plots and Spreadsheets Real-time QC systems; external data sources Process Analysis Process capability analysis Designs for Gage Repeatability/Reproducibility (R&R) Analyses. Weibull analysis Sampling plans Design of Experiments Design of Experiments Analysis of experiments: General features Residual analyses and transformations Optimization of single or multiple response variables: The response(desirability) profiler Standard two-level 2**(k-p) fractional factorial designs with blocks (Box-Hunter-Hunter minimum aberration designs). Minimum aberration and maximum unconfounding 2**(k-p) fractional factorial designs with blocks: General design search Screening (Plackett-Burman) designs Mixed-level factorial designs Three-level 3**(k-p) fractional factorial designs with blocks and Box-Behnken designs Central composite (response surface) designs Latin squares Taguchi robust design.experiments Designs for mixtures and triangular graphs Designs for constrained surfaces and mixtures D- and A-optimal designs Alternative procedures for analyzing data collected in experiments Power Analysis Brief Overview Detailed Description List of Tests

STATISTICA Automated Neural Networks

Input Data Data Scaling and Nominal Value Preparation Selecting a Neural Network Model The Automatic Network Search (automatic evaluation and selection of multiple network architectures) Probing and Testing a Neural Network System Requirements Size Limitations Electronic Manual

STATISTICA Data Miner

STATISTICA Automated Neural Networks   (Includes all modules listed above.) Data Mining Tools General Slicer/Dicer and Drill-Down Explorer General Classifier General Modeler/Multivariate Explorer General Forecaster General Neural Networks Explorer Specialized Data Mining Modules Feature Selection and Variable Association Rules Interactive Drill-Down Explorer Generalized EM & k-Means Cluster Analysis Generalized Additive Models General Classification and Regression Trees General CHAID Models Interactive Classification and Regression Trees Boosted Trees Multivariate Adaptive Regression Splines Goodness of Fit Computations Rapid Deployment of Predictive Models

STATISTICA Process Optimization & Root Cause Analysis

STATISTICA Advanced   (Includes all modules listed above.)   STATISTICA QC   (Includes all modules listed above.)   STATISTICA Data Miner   (Includes all modules listed above.)   Summary Go Beyond Simple Quality Control: Don't Just React to Problems, ANTICIPATE Them! Solution Packages for Specific Needs

STATISTICA Text Miner

STATISTICA Advanced   (Includes all modules listed above.)   STATISTICA Data Miner   (Includes all modules listed above.)   Accessing Documents Processing Documents Analyzing Documents