linear optimization

linear optimization

Advanced Analytics
Jared Erickson 0
Creating Synthetic Data with SAS/OR

A common barrier to quantitative research, especially in health and financial areas, is the inability to share sensitive data due to confidentiality and privacy. It can be difficult and time consuming to get permission to share the data, which means useful research is delayed or not even attempted. However, collaborators seeking

Advanced Analytics
Emily Lada 0
Simulate to validate

The primary objective of many discrete-event simulation projects is system investigation.  Output data from the simulation model are used to better understand the operation of the system (whether that system is real or theoretical), as well as to conduct various "what-if"-type analyses.   However, I recently worked on another model

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