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Statistica

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Statsoft Inc.
Statistica CD
STATISTICA
Developer(s)StatSoft
Stable release
9.0 (32-/64-bit)[1] / 2009
Operating systemWindows
Typenumerical analysis
LicenseProprietary software
Websitewww.statsoft.com

Statistica (trademarked in capitals as STATISTICA) is a statistics and analytics software package developed by StatSoft. Statistica provides data analysis, data management, data mining, and data visualization procedures. Statistica product categories include Enterprise (for use across a site or organization), Web-Based (for use with a server and web browser), Concurrent Network Desktop, and Single-User Desktop.

History

STATISTICS - STATISTICA.


‘STATISTICA’ originally derives from a set of software packages and add-ons which were initially developed during the Mid 80's by StatSoft. More specifically in 1985 The Statistical Supplement for Lotus 1-2-3 was released and was the first statistics add on developed for the Lotus spreadsheet. This was later released as a standalone called STATS+.

StatFast was then also released in 1895, which was one of the very first statistics packages that worked with an Apple Macintosh Computer.


Incorporated Statistical Packages Merge Into One
In 1986 Statistical Supplement for Lotus 1-2-3, STATS+, StatFast and two new units (Analytical Graphics group and the Numerical Optimization group) were incorporated into a larger statistical package which was called CSS (Complete Statistical System).


In 1988, MacSS (Macintosh Statistical System) was released.


Following the release of CSS and MacSS, The first version of STATISTICA in (DOS) was released in 1991 and in 1992 the Macintosh version of STATISTICA repeated the success of its DOS counterpart. STATISTICA/Mac was also the first statistical software package for Macintosh that was available in Japanese.


STATISTICA 5.0, was released in 1995 which automatically configured itself for new 32-bit Windows 95/NT or the older version of Windows (3.1) and featured a large number of new statistics and graphics procedures, a word-processor-style output editor of unlimited capacity (combining tables and graphs), and a built-in professional development environment that enabled the user to easily design new procedures (e.g., via the included, comprehensive STATISTICA Basic language) and integrate them with the STATISTICA system.


STATISTICA 5.1 was released in 1996 followed by STATISTICA '97 and STATISTICA '98 editions.


In 2001, STATISTICA 6 marked the new generation of statistical software, STATISTICA 6 was based on the COM architecture and high-end technologies (such as multithreading and support for distributed processing for large enterprise installations) usually not found in such "vertical market" applications as data analysis software.


STATISTICA 9, which is currently the latest version STATISTICA was released in 2009, supporting 32 bit and 64-bit computing.


Foreign versions of STATISTICA (including the entire STATISTICA family of products) are available in Chinese (both Traditional and Simplified), Czech, English, French, German, Italian, Japanese, Polish, Russian, and Spanish. STATISTICA documentation is available in Arabic, Chinese, Czech, English, French, German, Hungarian, Italian, Japanese, Korean, Polish, Portuguese, Russian, Spanish, and other languages.

Analytical techniques

Statistica provides different packages of analytical techniques:[2]

The base version of the software includes core statistical functions: Descriptive Statistics, Breakdowns, and Exploratory Data Analysis; Correlations; 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


Additional modules are available for advanced features:

  • Cluster Analysis Techniques - Factor Analysis and Principle Components; Canonical Correlation Analysis; Reliability/Item Analysis; Classification Trees; Correspondence Analysis; Multidimensional Scaling; Discriminant Analysis; General Discriminant Analysis Models
  • Distribution and Simulation - Variance Components and Mixed Model ANOVA/ANCOVA; Survival/Failure Time Analysis; General Nonlinear Estimation (and Logit/Probit); Log-Linear Analysis; Time Series Analysis, Forecasting; Structural Equation Modeling/Path Analysis (SEPATH); General Linear Models (GLM); General Regression Models (GRM); Generalized Linear/Nonlinear Models (GLZ); Partial Least Squares (PLS; predictive analytics; Multivariate techniques and advanced linear/nonlinear regression models.
  • Power Calculations- Sample Size Calculations; Interval Estimation
  • QC - Quality control techniques; design of experiments; Quality Control Charts; Process Capability Analysis; Weibull Analysis; Gage Repeatability & Reproducibility; Sampling Plans; Design of Experiments; Taguchi Designs
  • SAL- Sequence, Association, and Link Analysis

Additional techniques are available through Statistica integration with the free, open source R programming environment.[4][5]

Graphics

Statistica includes analytic and exploratory graphs in addition to standard 2- and 3-dimensional graphs. Brushing actions (interactive labeling, marking, and data exclusion) allow for investigation of outliers and exploratory data analysis.

User interface

Operation of the software typically involves loading a table of data and applying statistical functions from pull-down menus. The menus then prompt for the variables to be included and the type of analysis required. It is not necessary to type command prompts. Each analysis may include graphical or tabular output and is stored in a separate workbook.


See also

Comparison of statistical packages
StatSoft

References

  1. ^ "StatSoft Announces Version 9 of STATISTICA"
  2. ^ "StatSoft Product Catalog"
  3. ^ "Second Annual Rexer Analytics Data Miner Survey"Rexer. September 2008.
  4. ^ Christian H. Weiss "Commercial meets Open Source: Tuning STATISTICA with R" R-Project. March 2008.
  5. ^ "StatSoft Certifies REvolution Computing R Language" HPCwire. December 2008.

Further reading

  • Afifi, A. (2003). [1584883081 Computer-Aided Multivariate Analysis]. New York: CRC Press. {{cite book}}: Check |url= value (help); Unknown parameter |coauthors= ignored (|author= suggested) (help)
  • Sá, Joaquim (2007). Applied Statistics Using Spss, Statistica, Matlab and R. Berlin: Springer. ISBN 3540719717.

(Electronic Version): StatSoft, Inc. (2010). Electronic Statistics Textbook. Tulsa, OK: StatSoft. WEB: http://www.statsoft.com/textbook/. (Printed Version): Hill, T. & Lewicki, P. (2007). STATISTICS Methods and Applications. StatSoft, Tulsa, OK.

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