SAS/ETS software provides extensive facilities for econometric and systems modeling, financial analysis and reporting, time series analysis, automatic forecasting, and accessing commercially available economic and financial databases. You can specify, estimate, and simulate complex nonlinear models using simultaneous equations with dynamic or lagged relationships. You can create econometric models of the entire economy of a country or of individual market segments, physical models, biological models to simulate living processes, and ecological models to represent systems in nature. The software also provides features for estimating and simulating systems of first-order differential equations.
SAS/IML software provides a powerful and flexible programming language in a dynamic, interactive environment for programmers, statisticians, and researchers. Use SAS for data manipulation and specialized statistical analysis, and then employ SAS/IML for more specific analysis and exploration.
SAS/IML Studio is software for data exploration and analysis. It provides a highly flexible programming environment in which you can run SAS/STAT or SAS/IML analyses and display the results with dynamically linked graphics and data tables. SAS/IML Studio is intended for data analysts who write SAS programs to solve statistical problems but need more versatility for data exploration and model building. The programming language in SAS/IML Studio, which is called IMLPlus, is an enhanced version of the IML programming language. IMLPlus extends IML to provide new language features, including the ability to create and manipulate statistical graphics, call SAS procedures as functions, and call computational programs written in C, C++, Java, and FORTRAN. SAS/IML Studio also provides an interface to the R statistical package. SAS/IML Studio runs on a PC in the Microsoft Windows operating environment and is distributed with SAS/IML software.
SAS/INSIGHT software is a dynamic tool for exploring and analyzing your data. With it you can examine univariate distributions, visualize multivariate data, and fit models using regression, analysis of variance, and the generalized linear model.
SAS/LAB software offers guided (prompt-driven) data analysis for engineering and research applications. Analysts are led through basic methods of statistical analysis (such as analysis of variance and covariance, univariate analysis, one-way ANOVA, and linear and multiple regression) that can be represented graphically with scatter plots, histograms, box-and-whisker plots, and contour plots. An online journal facility stores text and graphical output, software-generated analysis interpretation, and personal comments.
SAS/OR software brings together essential optimization, scheduling, simulation, and related modeling and solution capabilities in an integrated and adaptable environment. It provides a powerful set of management science solutions that give companies the knowledge to identify and optimize business processes and management challenges.
SAS/QC software provides a comprehensive set of tools for statistical quality improvement and design of experiments. You can use these tools to organize quality improvement efforts, design and analyze experiments for process discovery and optimization, apply Taguchi methods for quality engineering, establish statistical control of a process, maintain statistical control and reduce variation, assess process capability, and analyze product reliability.
Today's competitive landscape makes the critical link between decision-making and an organization's success more important than ever. From corporations to government agencies to research institutes to universities, organizations are increasingly turning to statistical analysis to help them make their critical decisions. Using the right statistical technique can provide the information that improves processes, drives new development, and maintains a satisfied customer base.
While there are many statistical analysis tools on the market today, only one gives you complete, comprehensive tools for data analysis–SAS/STAT software from SAS Institute.