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 the following unique features:

• Database Querying
• Data Visualization
• Automation using STATISTICA Visual Basic

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

Products

Modules

STATISTICA Base

Descriptive statistics, breakdowns, and
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 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)

STATISTICA 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)

STATISTICA Power Analysis

Brief Overview
Detailed Description
List of Tests

STATISTICA Neural Networks

Input Data
Input Selection and Dimensionality
Reduction Data Scaling and Nominal
Value Preparation
Selecting a Neural Network Model
The Intelligent Problem Solver
(an easy-to-use wizard for network
creation)
Training a Neural Network Probing
and Testing a Neural Network
Network Editing, Modification, and
Pipe-lining Embedded Solutions
Training Algorithm Summary
Platforms
System Requirements
Size Limitations
Electronic Manual

STATISTICA 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

STATISTICA Process Analysis

Process capability analysis
Designs for Gage
Repeatability/Reproducibility (R&R)
Analyses.
Weibull analysis
Sampling plans

STATISTICA 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

STATISTICA QC Miner

Summary
Go Beyond Simple Quality Control:
Don't Just React to Problems,
ANTICIPATE Them!
Solution Packages for Specific
Needs
How it Works
Customize all Projects using
Industry Standard
In-place Database Processing
Using STATISTICA QC Miner as a
Silent Monitor and Learner

STATISTICA Data Miner

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
Filtering
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 Text Miner

Accessing Documents
Processing Documents
Analyzing Documents