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SPSS Releases Latest version of PASW Statistics Software


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SPSS, a provider of predictive analytics software and solutions, has released PASW Statistics 18, the latest version of its statistics software suite used by commercial, government and academic organizations to solve business and research problems.

Part of the SPSS Predictive Analytics Software (PASW) portfolio of products, PASW Statistics 18 combines new and enhanced capabilities to support the entire analytic process-preparing data, running analysis and creating and delivering reports. The latest version has new features that automate time-consuming operations, new analysis and reporting capabilities that improve results, and expanded ability for users to create their own analytical functionality using open source-R and Python-programming languages.

"The PASW portfolio of products consists of four major categories, which are data collection, modeling, collaboration and deployment, and statistics. In all, this portfolio covers about 14 different modules that each run on their own or can be run in combination with each other. The latest product release is in the statistics offering, and includes PASW Direct Marketing to give marketing professionals a straightforward way to do analysis, automated data preparation, bootstrapping, and increased accessibility to open source software," Marcus Hearne, manager of product marketing for SPSS, tells 5 Minute Briefing.

The new automated data preparation feature of PASW Statistics 18 simplifies a previously tedious and time-consuming process by automatically detecting and correcting quality errors, and imputing missing values. It also provides a report with recommendations to ensure the quality of data used. PASW Bootstrapping creates more dependable and stable estimates for predictive models to ensure the most reliable results. PASW Bootstrapping estimates the sampling distribution by re-sampling with replacement from the original sample.

PASW Statistics 18 will be available August 17, 2009, for Windows, Linux and Mac platforms on the desktop; and Windows, Solaris, Linux, AIX and HP/UX on the server. For more information, go here.


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