Design of Experiments

• Article Why the making stuff mindset doesn't make senseDOE expert Phil Kay discusses how design of experiments, and a little planning, can help you run projects that are more efficient, predictable and deliver the data you need to make better decisions.
• On-Demand Webinar Smarter Innovation with Design of ExperimentsIn this series we’ll learn how to effectively implement (or expand) the use of design of experiments at your organization.
• White Paper The Why and How of Asking Good QuestionsChristine Anderson-Cook discusses how and why asking good questions helps shape curiosity and makes you a better collaborator.
• Success Story NovozymesHow enterprise statistical enablement led to more reproducible research and bigger impact in the face of a changing planet.
• Article Digitalisation is the future of science, just ask a bologistDOE expert Phil Kay discusses how digitalisation can help automate large and complex experiments, an idea chemists should borrow from their biologist friends.
• White Paper Choosing the Right Design - with an Assist from JMP's Design ExplorerDeciding what data to collect for an experiment is a critical decision that has substantial consequences. In this paper, you'll learn how JMP's Design Explorer gives data scientists an easy way to construct and contrast multiple experimental designs that can be compared and evaluated.
• Data Insight How to Be a Data DatectiveIn this webinar you will see how interactive, no-code analytics enable any scientist or engineer to be a Data Detective, and to be more effective and efficient at every stage of the process.
• Interview Eli LillyChao Richard Li on data literacy and DOE.
• Customer Story Parker LORDWhen early benchmarking proved that JMP could have potentially dramatic time saving benefits, employees led the way in changing the culture.
• Customer Story F-star TherapeuticsStatistical approaches to experimentation open the door to the exploration of novel biology.
• On-Demand Webinar DOE Case Studies with Professor Peter GoosProfessor Peter Goos presents explains why, when and how to use response surface design, screening design, definitive screening design and split plot design.