STATISTICA Advanced with Industrial Modules

Advanced with Industrial Modules

STATISTICA Advanced Modules:-


STATISTICA Base features all the graphics tools in STATISTICA and the following modules:

  • Descriptive Statistics, Breakdowns, and Exploratory Data Analysis
  • Correlations
  • Basic Statistics from Results Spreadsheets (Tables)
  • Interactive Probability Calculator
  • T-Tests (and other tests of group differences)
  • Frequency Tables, Crosstabulation Tables, Stub-and-Banner Tables, Multiple Response Analysis
  • Multiple Regression Methods
  • Nonparametric Statistics

§ Distribution Fitting

Multivariate Exploratory Techniques

STATISTICA Multivariate Exploratory Techniques offers a broad selection of exploratory techniques, from cluster analysis to advanced classification trees methods, with an endless array of interactive visualization tools for exploring relationships and patterns; built-in complete Visual Basic scripting.

  • 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)

Advanced Linear/Non-Linear Models

STATISTICA Advanced Linear/Non-Linear Modelsoffers a wide array of the most advanced linear and nonlinear modeling tools on the market, supports continuous and categorical predictors, interactions, hierarchical models; automatic model selection facilities; also, variance components, time series, and many other methods; all analyses with extensive, interactive graphical support and built-in complete Visual Basic scripting

It features the following modules:

§ 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)

Power Analysis and Interval Estimation

Using STATISTICA Power Analysis and Interval Estimation in planning and analyzing your research, you can always be confident that you are using your resources most efficiently. Nothing is more disappointing than realizing that your research findings lack precision because your sample size was too small. On the other hand, using a sample size that is too large could be a significant waste of time and resources.

STATISTICA Power Analysis and Interval Estimation will help you find the ideal sample size and enrich your research with a variety of tools for estimating confidence intervals.

Read more about STATISTICA Power Analysis and Interval Estimation:

§ Advantages

  • Power Calculation
  • Sample Size Calculation
  • Interval Estimation
  • Probability Distributions
  • List of Tests

§ Example Application

Quality Control Charts

STATISTICA Quality Control Charts features a wide selection of quality control analysis techniques with presentation-quality charts of unmatched versatility and comprehensiveness. It is uniquely ideal for both automated shop-floor quality control systems of all types and levels of complexity (see also STATISTICA Enterprise-wide Systems, as well as sophisticated analytic and quality improvement research. A selection of automation options and user-interface shortcuts simplify routine work and practically all of the numerous graph layout options and specifications can be permanently modified (saved as system default settings or as reusable templates). Finally, STATISTICA Quality Control Charts includes powerful and easy to use facilities to custom design entirely new analytic procedures and add them permanently to the application, and those options are particularly useful when quality control analyses need to be integrated into existing data collection/monitoring systems.

It features the following features:

§ Standard quality control charts

  • Multivariate 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

Design of Experiments

STATISTICA Design of Experiments offers one of the most comprehensive selection of procedures to design and analyze the experimental designs used in industrial (quality) research.

Technical notes:

§ General features

  • Residual analyses and transformations

§ Optimization of single or multiple response variables

Types of designs:

§ Standard two-level 2**(k-p) fractional factorial designs with blocks

  • Minimum aberration and maximum unconfounding 2**(k-p) fractional factorial designs with blocks
  • 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
  • D-optimal split plot design

§ D-optimal split plot analysis

Alternative procedures:

§ Designs can also be analyzed via alternative modules such as General Linear Models, General Regression Models, or Generalized Linear/Nonlinear Models.

Process Analysis

STATISTICA Process Analysis is a comprehensive implementation of Process Capability analysis, Gage Repeatability and Reproducibility analysis, Weibull analysis, sampling plans, and variance components for random


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About statsoftsa

StatSoft, Inc. was founded in 1984 and is now one of the largest global providers of analytic software worldwide. StatSoft is also the largest manufacturer of enterprise-wide quality control and improvement software systems in the world, and the only company capable of supporting its QC products worldwide, with wholly owned subsidiaries in all major markets (StatSoft has 23 full-service offices, on all continents), and its software is available in more than 10 languages.

Posted on January 18, 2013, in Uncategorized. Bookmark the permalink. Leave a comment.

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