Webinars (Intermediate)


Presented by: Patrick Whitcomb on June 12, 2017
Category: Intermediate

Pat Whitcomb reveals some tricks for making the most of your DOE.

Presented by: Martin Bezener on Aug. 9, 2016
Category: Intermediate

How to use automatic model selection tools to build on appropriate models. Pros and cons of the methods are discussed.

Presented by: Patrick Whitcomb, Frank Westad on April 21, 2016
Category: Intermediate

Learn how multivariate analysis (MVA) methods can be used in combination with design of experiments (DOE) tools. Presenters demonstrate how to build an optimal design from principal components and use the DOE results to find an optimal compound.

Presented by: Wayne Adams on Jan. 5, 2016
Category: Intermediate

Learn how to use power and precision to properly size factorial and RSM designs.

Presented by: Patrick Whitcomb on Aug. 17, 2015
Category: Intermediate

Discover how split-plot designs are the best choice when you have hard-to-change (HTC) factors.

Presented by: Martin Bezener on March 16, 2015
Category: Intermediate

Review strategies for running confirmation to verify the results of an experiment.

Presented by: Shari Kraber on Oct. 22, 2014
Category: Intermediate

Topics include foldovers, semifoldovers, building a CCD from a one-factor-at-a-time (OFAT) study, and optimal augmentation for RSM designs.

Presented by: Brooks Henderson on Oct. 14, 2013
Category: Intermediate

We have an answer for your question: "How many runs do I really need?"

Presented by: Wayne Adams on July 1, 2013
Category: Intermediate

A briefing on QbD, along with state-of-the-art response surface methods (RSMs) for developing a robust design space.

Presented by: Shari Kraber on Feb. 21, 2012
Category: Intermediate

Topics include using optimal designs for constrained design spaces, adding categoric factors, higher-order models, and design augmentation.

Presented by: Shari Kraber on Oct. 17, 2011
Category: Intermediate

Review central composite designs and multiple response optimization.

Presented by: Patrick Whitcomb on Oct. 11, 2011
Category: Intermediate

Learn why, when, and how to use algorithmic (optimal) designs for your experiments.

Presented by: Mark Anderson on Sept. 20, 2009
Category: Intermediate

Historical data can be difficult to analyze - look out for these common issues.

Presented by: Shari Kraber on Dec. 28, 2008
Category: Intermediate

Verification is an essential final step to improving a product or process. Learn how DOE makes this a breeze.

Presented by: Mark Anderson on July 1, 2008
Category: Intermediate

A dual response approach to response surface methods (RSM) provides a statistically sound way to make your process more robust.

Presented by: Shari Kraber on April 1, 2008
Category: Intermediate

Learn how Design-Expert's optimization tools help you find the "sweet spot" for your product or process.