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About Systat

SYSTAT began in 1982 as the brainchild of Dr. Leland Wilkinson
while a professor at the University of Illinois, Chicago. The SYSTAT product began as one of the first statistical analysis applications to run on a microprocessor, therefore lending itself to scientific field research.

Launched on the commercial market from its first headquarters in Evanston, IL, SYSTAT enjoyed tremendous success among researchers, particularly from the academic community. It was acquired years later by SPSS, and became a prominent member of their scientific software product line for the better part of a decade.

SYSTAT is now a key product of Cranes Software International, a multinational software company based in Bangalore, India and represented in 38 countries around the world. Cranes provides statistical analytics and engineering simulation software products and solutions across the globe.

Today, the SYSTAT product is managed from its office in Chicago, IL, under the guidance of the recently-returned Dr. Wilkinson. Its core development team of forty statisticians is headed by renowned statistician Prof. T. Krishnan. This team comprises key researchers and statistical analysts who continuously work towards enhancing products for their customers. They have developed SYSTAT into a cutting-edge research tool, and are continually adding new products like the revival of the free MYSTAT student distribution.

The SYSTAT team of developers, representatives and support staff are dedicated to the SYSTAT community, and SYSTAT’s mission to make elegant analysis and visualization accessible to all its users.

Try SYSTAT 13’s New Statistical Features

Forecast Time Series Error Variance with ARCH and GARCH

Conventional time series analysis procedures assume that the variance of the random (error) terms in the series is constant over time. In practice, however, certain series, especially in the financial domain, exhibit volatility with different levels of variance in different periods. In order to capture and model this phenomenon, Autoregressive Conditional Heteroskedasticity (ARCH) models have been developed. Here the variance at each point of the series is modeled using the past disturbances in the series. The ARCH model generally requires a large number of parameters to successfully capture the dynamics of the error variance. The Generalized Autoregressive Conditional Heteroskedasticity (GARCH) model, by introducing additional autoregressive terms of the error variance helps achieve parameter parsimony in the modeling.

SYSTAT 13’s Time Series Analysis update provides the following:

  • Hypothesis tests for ARCH effects: Well-known McLeod and Lagrange Multiplier tests are provided for this purpose.
  • Estimation of ARCH and GARCH model parameters by different implementations (BHHH, BFGS, and Newton-Raphson) of the maximum likelihood method with various options for convergence criteria.
  • Forecasts for error variances using the parameter estimates.
  • The Jarque-Bera test for normality of errors.

Find the Best Predictors with Best Subsets Regression

In the development of a multiple (linear) regression model, it would be nice if the number of predictors in the model developed is small without sacrificing predictive power. The best subsets regression addresses this issue.

  • SYSTAT 13 finds best models (choice of predictors) for a given number of predictors, the number varying from one to the total number available in the data set.
  • The best model is identified by various criteria such as R2, Adjusted R2, Mallow’s Cp, MSE, AIC, AICC and BIC.
  • SYSTAT 13 then offers to carry out a complete regression analysis on the data set chosen by the user (same as the training set or different) on the best model selected by any of the criteria.

Examine the Fitness of Statistical Models Using Confirmatory Factor Analysis

The Factor Analysis feature in SYSTAT 13 now includes Confirmatory Factor Analysis (CFA).

  • CFA can be used to test the postulated factor structure based on a priori knowledge about the relationship between the observed (manifest) variables and the latent variables.
  • With CFA, SYSTAT allows users to specify the observed variables, a set of latent variables, and their variance-covariance structure.
  • A path diagram can be used to specify the hypothesized model.
  • SYSTAT 13 estimates the parameters of the CFA model using one of the following estimation options: Maximum likelihood, Generalized least-squares, and Weighted least-squares.
  • SYSTAT 13 provides a wide of variety of goodness-of-fit indices to measure the degree of conformity of the postulated factor model to the data. Some of the well-known indices provided are: Goodness-of-Fit Index (GIF), Root Mean Square Residual (RMR), Parsimonious Goodness-of- fit Index (PGFI), AIC, BIC, McDonald’s measure of Certainty, and Non-normal Fit Index (NNFI).

Try SYSTAT 13's Newest Regression Capability: Polynomial Regression

SYSTAT 13 provides a direct computation of polynomial regression on a single independent variable. The key features are:

  • The order of the polynomial can be up to 8.
  • Besides fitting polynomials in standard forms, SYSTAT 13 provides orthogonal polynomial regression.
  • SYSTAT 13 reports goodness-of fit-statistics (R2 and adjusted R2) and ANOVA with p-values for all models, starting from the order specified by the user, down to linear (order = 1).
  • SYSTAT 13 provides confidence and prediction interval plots along with estimates, and a plot of residuals versus predicted values, as Quick Graphs.

More Graphics...

Add Polish to Your Research with Stunning 2D and 3D Graphs

SYSTAT 13 renders visually compelling 2D graphics perfect for publication, and incredible 3D graphics that bring an incredible wow-factor to any research or business presentation. SYSTAT 13 comes packed with new graphical editing features, such as:

  • Richer Color Choices: Specify any color for your graphs from their red, green and blue component values.
  • New Editing Capabilities: Edit graph size, color, axes, legends, border display, etc. using interactive dialog boxes.
  • New Color Gradient Editing: SYSTAT 13 gives you precise control over gradient color and style on 3D graph surfaces.
  • New Graph Labeling Features: Generate numeric case labels in plots, multivariate displays and maps. Label the dots in dot plots.

Less Effort...

Analysis of Variance Upgrades

The Analysis of Variance feature now provides:

  • Levene’s test based on median for testing homogeneity of variances.
  • A SUBCAT command that categorizes the desired factors just for the purpose of the analysis.

Basic Statistics Upgrades

The Basic Statistics updates in SYSTAT 13 include:

  • Standard error and confidence interval for the trimmed mean.
  • Winsorized mean, its standard error and confidence interval.
  • Sample mode and mode based on kernel density estimate of data.
  • Interquartile range

Bootstrap Analysis Upgrades

In previous versions, SYSTAT has analysis of the bootstrap outputs, summarizing the key parts of the outputs by histograms, computing various types of bootstrap estimates, their biases, standard errors, confidence intervals, and p-values. In SYSTAT 13, this facility is added to Hypothesis Testing and enhanced in Least-Squares Regression.

  • In Hypothesis Testing, SYSTAT 13 provides bootstrap-based p-values and histograms of the test statistic obtained from the bootstrap samples. Apart from the usual p-values of the tests, users can now request bootstrap-based p-values in all tests for mean (one-sample z, one-sample t, two- sample z, two-sample t, paired t, Poisson) and variance (single variance, two variances and several variances)
  • In Least-Squares Linear Regression, a choice of bootstrapping residuals has been included. Bootstrap estimates of the regression coefficients, their biases, standard errors, and confidence intervals are then computed based on these.

Crosstabulation Upgrades

Updates provided in the Crosstabulation (XTAB) feature include the following:

  • Relative Risk: In a 2 x 2 table, the relative risk is the ratio of the proportions of cases having a ‘positive’ outcome in the two groups defined by row or column. Relative Risk is a common measure of association for dichotomous variables.
  • Mode: SYSTAT 13 gives an option to list only the first N categories in a one-way table (frequency distribution). This is done by adding a MODE = N option to the PLENGTH command within XTAB.
  • Output categorized appropriately based on the type of table, and reorganized table of measures.

Hypothesis Testing Upgrades

The Hypothesis Testing feature has been strengthened by adding tests for mean vectors of multivariate data.

  • One-sample Hotelling’s T2 test for mean vector of multivariate data equal to a known vector.
  • Two-sample Hotelling’s T2 test for equality of two mean vectors of multivariate data.

For two-sample z, two-sample t, and test for two variances, users can now directly input data in a layout where the data across the samples appear in different columns. This is in addition to the current indexed layout.


Logistic Regression

SYSTAT 13 offers more intuitive ways of analyzing binary, multinomial, conditional, and discrete choice models. Specifically:

  • Simplified and easy user interface and command line structure to analyze binary, multinomial, conditional, and discrete choice models separately.
  • Option to specify the reference level for the binary and multinomial response models.
  • Simpler form of input data to analyze matched sample case-control studies with one case and any number of controls per set.
  • For Discrete choice models, SYSTAT 13 provides two data layouts: ‘Choice set’ and ‘By choice’ to model an individual’s choices in response to the characteristics of the choices.

Nonparametric Tests

Updates in Nonparametric tests include:

  • Jonckeere-Terpstra test as an alternative to Mann-Whitney test: The test is used when the treatments are ordered in terms of the response. This test is based on the sum of the k(k-1)/2 Mann-Whitney counts (for k treatments).
  • Fligner-Wolfe test as an alternative to Mann-Whitney test: The test is used when one of the treatments acts as a control, to test equality of response to control vis-à-vis all other treatments, with a one-sided alternative. This is a Mann-Whitney test with two groups when the control is one group and all other treatments together form another.
  • Post hoc (multiple comparisons) tests of Dwass-Steel-Critchlow-Fligner and of Conover-Inman which can be used as a follow-up when a Kruskal-Wallis test shows significance.
  • A multiple comparison test due to Conover as a follow-up of Friedman test showing significance.


SYSTAT 13 Offers All the Statistical Computing Power That Researchers Need

Not only does SYSTAT offer common procedures like Linear Regression, Analysis of Variance and Non-parametric Tests, but you will also find advanced methods like Mixed Model Analysis, Advanced Regression (e.g. Robust, Non-linear, Partial Least Squares, etc.) and Response Surface Methods, all of which are available in SYSTAT’s base package.

SYSTAT 13 introduces the following new statistical methods:

  • ARCH & GARCH Models in Time Series
  • Best Subsets Regression
  • Confirmatory Factor Analysis
  • Environment Variables in Best Statistics
  • Polynomial Regression
  • Enhancements to existing methods such as ANOVA, Bootstrapping, Crosstabulation, Fitting Distributions, Hypothesis Testing and more!


SYSTAT Makes Your Work Smooth and Easy

Few things are as aggravating as having your research software’s license expire just before you finish your work. SYSTAT stand-alone and network products are available with perpetual licenses. That means no hidden time-bombs, nothing to get between you and your work!
That’s not the only way SYSTAT makes your job easier. You can customize almost any aspect of the software, from the menu and toolbar configuration to the default appearance and style of your output. Creating custom command files lets you run analyses and produce graphs on different data sets instantly.
Also, SYSTAT 13 has been engineered to handle even larger datasets than before. SYSTAT 13 computes statistical methods up to 10 times faster than older versions on most problems.
Here are some more features we added with SYSTAT 13 to make your life easier:

  • A New, Flicker-free Data Editor with Easy Navigation Tools and Drag-and-drop Entry
  • Autocomplete and Token Dialog Functionality
  • New Graphics Control Features That Allow More Detailed Control Over Appearance
  • SYSTAT’s Comprehensive Help Files
  • A New Tabbed Worspace Layout Allowing Easier Navigation

---- and so much more!

Minimum hardware and software requirements for SYSTAT 13 are:

  • Windows 32 bit (XP, Vista, Windows 7, Windows 2003 Server, and Windows 2008 Server)
  • Windows 64 bit (XP, Vista, Windows 7, Windows 2003 Server, and Windows 2008 Server)
  • Pentium™ level processor
  • 512 MB RAM (1GB recommended)
  • 600 MB Free Disk Space (inclusive of Manual PDFs ~87 MB and MSI Cache)
  • CD-ROM Drive
  • SVGA Adapter and Monitor
  • Internet Explorer 7 (Internet Explorer 8 recommended)


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