Session 1: DOE: Past, Present, and Future

Design of experiments is one of the most strategic contributions to enable us to learn faster from data and understand cause and effect.

In this session, JMP’s Distinguished Research Fellow, Dr. Bradley Jones discusses the origins of design of experiments, how it evolved and its immeasurable contributions to statistics and data discovery.


Session 2: Design of Experiments Made Easy

Whether you’re brand new to DOE or been using it for years, JMP now has a guided platform that makes designing, running and analyzing experiments consistently… yes, essentially an “Easy Button” for DOE.


Session 3: Unlocking the Power of Designed Experiments

When it comes to efficiently collecting experimental information, there is no better method than designed experiments. Still, they have limitations. Due to their incredible efficiency, and relatively small data sets, it can be difficult to create a robust predictive model from a designed experiment without compromising the data set.

A recent development has identified a novel way to create robust models from these data sets by stringing together cutting-edge modeling techniques and best practices to create an enhanced solution.

Tip: Get even more out of this webinar

 

For a hands-on learning experience, download a free trial of JMP to follow along with the presenter.

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