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IBM SPSS (PASW) Statistics 19 Fix Pack
IBM SPSS (PASW) Statistics 19 Fix Pack

IBM SPSS (PASW) Statistics 19 Fix Pack 1 | 1.51 Gb

IBM SPSS Statistics is a comprehensive, easy-to-use set of data and predictive analytics tools for business users, analysts and statistical programmers.
About IBM Corporation
SPSS, an IBM Company, is a leading global provider of predictive analytics software and solutions. Commercial, government and academic customers worldwide rely on SPSS technology as a competitive advantage in attracting, retaining and growing customers, while reducing fraud and mitigating risk.

SPSS software helps organizations predict future events and proactively act upon that insight to drive better business outcomes. By incorporating SPSS Predictive Analytics into their daily operations, organizations become Predictive Enterprises—able to direct and automate decisions to meet business goals and achieve measurable competitive advantage.

Why IBM SPSS Statistics
IBM SPSS Statistics offers superior analysis capabilities, flexibility and usability that are not available in traditional statistical software. With decades of built-in expertise and innovation, IBM SPSS Statistics is the world’s number one choice for reliable statistical analysis. Benefits for the business analyst or analytic professional include:

A Quality User Experience
- Seamless integration with Microsoft Office applications
- The ability to quickly analyze large datasets within pivot tables
- Access to a newly improved Syntax Editor, with auto-completion, auto indentation, color-coding and other features to make it easier to automate analytics production jobs
- An Interactive Model Viewer
- Access to multiple interface languages for global teams that may be working on the same project

Better Productivity and Performance
- Quickly prepare data in just a single step with Automated Data Preparation
- View significance tests in the main results table
- Fast performance on procedures for Frequencies, Descriptives and Crosstabs
- Manage and analyze business datasets
- Create customized, user-defined interfaces for existing procedures and user-defined procedures
- Multithreaded procedures that improve performance and scalability

Powerful, Leading-Edge Analytics
- Direct marketing functionality that allows business users to run their own analyses
- Bootstrapping capabilities that improve the stability of models
- Nonparametric testing procedures
- Regularization methods including Ridge regression, Lasso and Elastic Net, that improve predictive models by reducing coefficient variability
- Multithreaded algorithms including SORT, correlation, partial correlation linear regression, multinomial linear regression, factor analysis
- Nearest Neighbor analysis for prediction or classification
- Non-linear data modeling procedures to discover more complex relationships in your data.
- Cox Regression that enables survival analysis for samples drawn by complex sampling methods

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Added: (23 February 2011) | Views: 1944 | Rating:
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