Webinars (Beginner)


Presented by: Richard Williams on Nov. 22, 2022
Category: Design-Expert Tips

Discover what design of experiments (DOE) can do for you when catalyzed with DX13’s world-class statistical tools. Learn about factorial design, followed by a peek at response surface methods (RSM) for process optimization and lastly, a look into mixture design for optimal formulation.

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Date: Tuesday, November 22, 2022
Time: 10:00am Central US Time

Presented by: Mark Anderson on Nov. 16, 2022
Category: Science

By way of example, this presentation lays out a strategy for mixture design of experiments (DOE) that provides maximum efficiency and effectiveness for development of an ideal product recipe. It provides a sure path for converging on the ‘sweet spot’—the most desirable combination of components. Learn how to screen down many ingredients to find the vital few and then discover their optimal formulation.

Presented by: Shari Kraber on Oct. 19, 2022
Category: Beginner

Step up your design of experiments (DOE) know-how via this essential briefing on this multifactor-testing tool. A quick demo lays out what makes statistical DOE so effective for accelerating R&D. Discover how DOE will find your vital few factors and reveal breakthrough interactions.

Presented by: Martin Bezener on Oct. 12, 2022
Category: Beginner

After decades of continuous development, Design-Expert® software (DX) leads the field for making design of experiments (DOE) easy. In response to many requests from loyal users, we are proud to now produce Stat-Ease® 360 (SE360). This webinar provides a briefing on the major innovations now available with SE360, and bit of what's in store for the future.

Presented by: Mark Anderson on Aug. 31, 2022
Category: Beginner

Via a series of case studies, this webinar demonstrates multicomponent and multifactor design-of-experiment (DOE) tools for optimal formulation and refining of oil, gas and petrochemicals. See how these tried-and-true statistical methods, made easy by Stat-Ease software, empower experimenters to quickly converge on the “sweet” spot—component and factor settings that meet all specifications at minimal cost.

Presented by: Mark Anderson on July 27, 2022
Category: Beginner

By way of a variety of case studies, this webinar by Mark Anderson on design of experiments (DOE) provides insights into graphical approaches (half-normal and Pareto plots) that assess effects at a glance—a huge advantage for experimenters who get overwhelmed by esoteric statistical reports. See how Stat-Ease makes selection of factor effects easy for its users.

Presented by: Martin Bezener on July 13, 2022
Category: Beginner

Advance your R&D experimentation skills via this essential webinar on mixture experiments. A compelling demo lays out what makes mixture design of experiments (DOE) so effective for accelerating your formulation efforts. Discover how to: identify key characteristics leading to a mixture experiment, use mixture DOE to create optimal formulations, and map out your sweet spot with graphical tools.

Presented by: Shari Kraber on June 29, 2022
Category: Beginner

Save time and costs by utilizing smaller designs! In this webinar Stat-Ease consultant, Shari Kraber, reveals the information provided by both regular-fraction versus more-modern minimum-run designs—a Stat-Ease invention. Take away a clear guide for selecting the best design based on your factorial DOE objective: screening or characterization.

Presented by: Márcia Cristina Breitkreitz on June 23, 2022
Category: Beginner

Aprimore seus conhecimentos em Planejamento Experimental (Design of Experiments, DOE) por meio deste webinar que abordará os fundamentos desta ferramenta multivariada essencial. Esta explicação rápida irá mostrar porque o Planejamento de Experimentos (DOE) é uma ferramenta estatística tão eficaz para acelerar  sua pesquisa e desenvolvimento. Descubra como é possível identificar fatores importantes e possíveis interações.

Presented by: Richard Williams on June 8, 2022
Category: Beginner

Discover what design of experiments (DOE) can do for you when catalyzed with DX13’s world-class statistical tools. Learn about factorial design, the core tool for DOE, followed by a peek at response surface methods (RSM) for process optimization and last, but not least, a look into mixture design for optimal formulation.

Presented by: Mark Anderson on June 1, 2022
Category: Beginner

Via a series of case studies, this webinar demonstrates multicomponent and multifactor design-of-experiment (DOE) tools for optimal formulation and processing of foods. See how these tried-and-true statistical methods, made easy by Stat-Ease software, empower experimenters to quickly converge on the “sweet” spot—ingredient and factor settings that meet all specifications at minimal cost.

Presented by: Mark Anderson on April 6, 2022
Category: Beginner

The multifactor tools of design of experiments (DOE), though proven for manufacturing quality improvement, remain underutilized in service, business administration and other transactional processes. See how DOE can be applied in these domains.

Presented by: Shari Kraber on Feb. 9, 2022
Category: General DOE

Motivated by frequently asked questions from graduate researchers, this webinar lays out essential elements for good design of experiments (DOE).

Presented by: Mark Anderson on Oct. 13, 2021
Category: Beginner

See how multifactor testing tools are useful for elastomers, rubbers and composites R&D.

Presented by: Patrick Whitcomb on Aug. 18, 2021
Category: Design-Expert Tips

Learn the differing impacts of running repeated samples or measures, versus replicating runs. Knowledge of the sources of variation in the system and the costs of replicating the DOE run and/or repeating the measure can help one decide which is the best option.

Presented by: Mark Anderson on May 26, 2021
Category: Beginner

Via a series of case studies, this webinar demonstrates multifactor testing tools for aerospace R&D. See how Design-Expert empowers experimenters to quickly converge on the “sweet” spot—factor settings that meet all specifications.

Presented by: Shari Kraber on Jan. 20, 2021
Category: Beginner

Response surface methods (RSM) provide a quick path to the peak of process performance. This webinar presents an array of RSM designs to choose from – central composite, Box-Behnken and optimal (custom). Learn when each design excels. Also find out how to handle categoric factors, discrete numeric levels and complex constraints involving multiple factors. Discover how to set up the right RSM design for your unique experimental needs.

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.