Webinars


Stat-Ease is proud to offer free webinars to those interested in Design of Experiments (DOE). Presented on a regular basis, topics range from beginner to advanced levels. Material may be new or drawn from our ever-popular DOE workshops.

If there is a particular subject you are interested in and don't see below, send us an e-mail and let us know. If there is enough interest, we may present your topic in a future webinar.

"Thank you very much for the continuing education opportunities through Stat-Ease's webinar offerings. Brooks did a fine job yesterday presenting RSM Part 2. I've also listened to past webinars presented by other instructors and they also do an excellent job of explaining DOE. Thank you, Stat-Ease!"

—Jeff Reimer, Principal Scientist, Sigma-Aldrich Corporation

Upcoming Live Webinars:

No live webinars are currently scheduled. Watch a previously recorded webinar below, or check back later.

Recorded Webinars:

Presented by: Patrick Whitcomb on Jan. 22, 2019
Category: Advanced

Discover how to optimize your process while avoiding impossible factor combinations.

Presented by: Mark Anderson on Sept. 10, 2018
Category: Beginner

Learn about factorial design, the core tool for DOE, followed by a peek at response surface methods (RSM).

Presented by: Martin Bezener on May 21, 2018
Category: Beginner

This case-study driven webinar is a must for all who experiment on APIs. Learn how to apply statistically valid, multifactor and multicomponent testing strategies that catalyze your development work.

Presented by: Shari Kraber on Feb. 20, 2018
Category: Beginner

Discover new features in Design-Expert® software, version 11, with a demonstration of the overhauled interface.

Presented by: Mark Anderson on Oct. 5, 2017
Category: Beginner

Use mixture design tools for multi-component product development and optimization, perfect for formulators. Learn why factorial designs won't work.

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

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

Presented by: Mark Anderson on Jan. 31, 2017
Category: Beginner

Use graphical tools (half-normal & Pareto plots) to select effects quickly and accurately.

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: Mark Anderson on Dec. 12, 2012
Category: Beginner

Learn how to use diagnostics to achieve better results.

Presented by: Patrick Whitcomb on July 10, 2012
Category: Advanced

Discover how propagation of error and tolerance analysis can account for variation in your system.

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: Brooks Henderson on June 21, 2011
Category: Beginner

An introduction to factorial design. What is DOE and how can you use it?

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: Patrick Whitcomb on May 13, 2008
Category: Design-Expert Tips

Learn the differences between replicates, duplicates, and repeats, as well as the reasons for using each. Cost-based decision selection of one versus another are discussed.

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.