STATISTICA Version 8, the latest release of our award-winning data analysis package,
offers many new, unique features and added functionality to the entire STATISTICA product line.
Read more about the exciting new features in STATISTICA 8 here.
For a list of features added in STATISTICA Version 7 please click here.
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STATISTICA version 8 Desktop Products Summary
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Statistical Methods |
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STATISTICA Base
A comprehensive set of essential statistics in a user-friendly package with flexible output management and Web enablement features; also includes all STATISTICA graphics and a comprehensive Visual Basic development environment.
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Basic Statistics and Tables
Multiple Regression
ANOVA
Nonparametrics Methods
Distribution Fitting |
Click here for details |
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STATISTICA Advanced
includes Base, Advanced Linear/Non-Linear Models,
Multivariate Exploratory Techniques,
and Power Analysis.
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Advanced Linear and Non-Linear Models
A wide array of the most advanced linear and nonlinear tools available,
supporting continuous and categorical predictors, interactions, hierarchical models; featuring automatic model selection facilities; also including
variance components, time series, etc.; all analyses with extensive, interactive graphical support and complete built-in Visual Basic scripting.
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General Linear Models
Generalised Linear/Nonlinear Models
General Regression Models
General Partial Least Squares Models
NIPALS Algorithm (PCA/PLS)
Variance Components
Survival Analysis
Nonlinear Estimation
Fixed Nonlinear Regression
Log-Linear Analysis of Frequency Tables
Time Series/Forecasting
Structural Equation Modelling
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Click here for details
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Multivariate Exploratory Techniques
A broad selection of exploratory techniques, from cluster analysis to advanced classification trees methods, with an endless array of interactive visualisation tools for exploring relationships and patterns; featuring complete, built-in Visual Basic scripting.
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Cluster Analysis
Factor Analysis
Principal Components & Classification Analysis
Canonical Analysis
Reliability/Item Analysis
Classification Trees
Correspondence Analysis
Multidimensional Scaling
Discriminant Analysis
General Discriminant Analysis Models
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Click here for details |
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Power Analysis
An extremely precise and user-friendly research tool for analysing all aspects of statistical power and sample size calculations.
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Power Calculation
Sample Size Calculation
Interval Estimation
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Click here for details |
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Quality Control Charts
Versatile, presentation-quality charts with powerful automation options, customisable features and user-interface shortcuts to simplify routine work.
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X-bar, R & S charts
Individual and moving range charts
Moving Average and EWMA charts
Cusum control charts
Pareto Charts
C, U Np & P charts for attributes
X-bar, R & S charts |
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Process Analysis
A comprehensive package for process capability, gauge R&R and other quality control/improvement applications. |
Process Capability Analysis
Gauge Repeatability and Reproducibility
Weibull Analysis
Sampling Plans |
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Power Analysis
An extremely precise and user-friendly research tool for analysing all aspects of statistical power and sample size calculations.
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Power Calculation
Sample Size Calculation
Interval Estimation
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Click here for details |
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Design of Experiments
A comprehensive selection of tools for design and analysis of industrial experiments, including ANOVA, visualisation, desirability profilers and extensive residual analysis.
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2- and 3-level fractional factorials
2-level screening designs
Response surface designs
Latin and Graeco-Latin Squares
Taguchi designs
Mixture designs
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Click here for details |
STATISTICA Advanced + QC
includes Base, Advanced Linear/Non-Linear Models,
Multivariate Exploratory Techniques,
Quality Control Charts, Design of Experiments,
Process Analysis
and Power Analysis.
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SANN - STATISTICA AUTOMATED NEURAL NETWORKS
STATISTICA Automated Neural Networks is a high-performance and easy-to-use application that includes the latest technologies and state-of-the-art algorithms for building and deploying neural network models.
Neural network modules include:
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Regression (for implementing regression with non-sequential data).
Classification (for implementing classification analysis with non-sequential data).
Time Series Regression (for implementing regression with time series data).
Time Series Classification (for implementing classification with time series data).
Cluster Analysis (using Kohonen maps)
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STATISTICA Variance Estimation and Precision (VEPAC)
Variance Estimation and Precision (VEPAC) is a comprehensive set of techniques for analyzing data from experiments that include both
fixed and random effects using REML (Restricted Maximum Likelihood Estimation). With VEPAC, users can obtain estimates of variance
components and use them to make precision statements while at the same time comparing fixed effects in the presence of multiple
sources of variation.
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Variability plots
Multiple plot layouts to allow direct comparison of multiple dependent variables
Expected mean squares and variance components with confidence intervals
Flexible handling of multiple dependent variables: analyze several variables with the same
or different designs at once
Graph displays of variance components
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Click here for details |
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STATISTICA Sequence, Association and Link Analysis (SAL)
The STATISTICA Sequence, Association and Link Analysis (SAL) module is designed to address the needs of clients in retailing,
banking and insurance, etc., industries by implementing the fastest known highly scalable algorithm with the ability to drive
Association and Sequence rules in one single analysis. The program represents a stand-alone module that can be used for both model
building and deployment. |
The Novel Algorithm
Database Technology
Variable Handling
Multi-Tasking
Multidimensional Analysis
Quantitative Attributes
Clustering Analysis
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Click here for details |
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IDP (In-place Database Processing)
The In-Place Database Processing (IDP) is an advanced database access technology developed at StatSoft to support high-performance,
direct interface between external data sets residing on remote servers and the analytic functionality of STATISTICA products. The IDP
technology has been developed to facilitate accessing data in large databases using a one-step process which does not necessitate
creating local copies of the data set. IDP significantly increases the performance of STATISTICA; it is particularly well suited for
large data mining and exploratory data analysis tasks. |
Click here for details |
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STATISTICA Multivariate Statistical Process Control (MSPC)
STATISTICA Multivariate Statistical Process Control (MSPC) is a complete solution for multivariate statistical process control,
deployed within a scalable, secure analytics software platform. |
Partial Least Squares.
Principal Components.
Integrated Graphical Analysis.
Cross-validation.
Quality Control.
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Click here for details |
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STATISTICA Data Mining Solutions
STATISTICA's suite of advanced predictive modeling and knowledge discovery algorithms
offer the most comprehensive selection of techniques in one software solution. Each of the products in this suite offers an
easy-to-use, icon-based user interface. It features a selection of automated and ready-to-deploy data mining solutions for a
wide variety of business applications.
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STATISTICA Data Miner
STATISTICA QC Miner
STATISTICAText Miner
STATISTICA Sequence and Link Analysis
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STATISTICA Enterprise-wide Solutions
A range of solutions designed with the enterprise in mind. Features include groupware functionality to allow true collaborative working "across the hall or across the continents", analysis and mining of data from corporate data warehouses, thin-client (browser-based) operation and much more. |
STATISTICA Enterprise (SEDAS)
STATISTICA Enterprise/QC (SEWSS)
WebSTATISTICA Server
WebSTATISTICA Knowledge Portal
STATISTICA MultiStream for Power Industries
STATISTICA MultiStream for Pharmaceutical Industries
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Click here for details |
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