SAS/QC software provides a wide range of specialized tools that help you improve products, optimize processes, and increase levels of customer satisfaction. It enables organizations to go beyond basic process control to incorporate more advanced statistical analyses for additional insights into processes and product improvements.
The most recent release is SAS/QC 14.2.
NewsWhat's New in SAS/QC 14.2
SAS/QC 14.2 includes the following enhancements:
- The RAREEVENTS procedure is now production. You can compute probability limits based on a Weibull distribution, and the COMPARE statement provides different ways to display the process data and reference distribution.
- The ANOM, CUSUM, MACONTROL, and SHEWHART procedures have new options that provide more flexibility with subgroup markers and labels.
Visit our general product information page on www.sas.com for more information.
Free Online Documentation
- Most recent release for SAS/QC
- What's New in SAS/QC 14.2
- SAS/QC 14.2 User's Guide
PDF | HTML
- SAS/QC 14.2 User's Guide Example Programs
- Getting Started with the SAS 9.2 ADX Interface for Design of Experiments
PDF | HTML
- SAS/QC 14.2 User's Guide SAS/QC Procedures
- Help for the SAS ADX Interface for Design of Experiments is accessible within the product.
- All online documentation for supported releases of SAS/QC [HTML]
- SAS/QC titles in online bookstore [HTML]
- SAS/QC Papers and Presentations [HTML]
SAS Publishing Representatives are available in the U.S. from 8-5 ET to answer your documentation questions. Contact us at 1-800-727-0025, option 4 or e-mail.
Curriculum consultants are available in the U.S. from 9-5 EST. Contact us at 1-800-727-0025, option 4 or e-mail.
International customers, please contact your country office.
Online Support ResourcesThis page contains online support resources that are specific to this product. Visit the Support page to access various self-help and assisted-help resources or submit a problem through the SAS Technical Support form.
- Fitting Bayesian Zero-Inflated Poisson Regression Models with the MCMC Procedure
- Fitting a Mixture of Exponential Distributions for Patientís Length of Stay
- Nonparametric Estimation and Comparison of Cumulative Incidence Functions with Competing Risks Data (%CIF Macro)
- Estimating the Standard Deviation of a Variable in a Finite Population
- Usage Notes
- Problem Notes
- Installation Notes
- System Requirements
- Examples from documentation
The examples are grouped by the SAS/QC procedure that is being demonstrated.
Air date: November 3, 2016
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Air date: December 20, 2013
Air date: November 19, 2013
Air date: December 19, 2011
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