Enhanced language support (now supporting 27 languages plus dialects).

Improved usability to simplify navigation of large models.

New multistart capability for nonlinear programming solvers.New network simplex linear programming algorithm.Seamless integration of R models with the ability to register and manage R models in SAS Model Manager.Rolling simulation lets you interactively simulate a forecasting process.Ability to define customized time intervals.Procedures optimized for utility file usage and SAS code optimized for efficient file usage.

New survival analysis predicts when an event will happen, not just if it will happen.

Standardized Web Infrastructure Platform midtier services for data integration, BI, SAS solutions and analytics.

Provides an interface to the R statistical programming language.

Fit parametric models for recurrent events data and construct probability plots for models based on a three-parameter Weibull distribution for lifetime data.

Fit Gumbel, inverse Gaussian, generalized Pareto, power function, and Rayleigh distributions.

New features for modeling the size of losses or insurance claims.

Data access engine SASEXCCM for the CRSP/COMPUSTAT Merged Database.

Powerful and versatile tools for state space modeling and forecasting of time series and longitudinal data.

SAS Analytics continue to help you solve critical problems and, with the release of SAS 9.3, we’ve added new algorithms and functionality that mean you can address issues in new ways and tackle your organization’s “big” problems. The phrases “big data” and “big analytics” have suddenly taken center stage as industry buzzwords but, as a SAS user, you know that the substance behind these buzzwords has always been at the heart of what we do.

Sas statistical software torrent