Make Design of Experiments Easy
The Easy DoE platform is a guided workflow for users to familiarize themselves with the DoE workflow from start to finish. In this demo, we go through the workflow from defining your response and factors, up to the prediction stage where we visualize our model to optimize our factor settings to the response. View the full presentation, including a discussion with Marie Gérus-Durand, Validation Engineer and Principal Scientist at Cerba Research at https://go.jmp/4bIlhpJ. Try JMP: https://bit.ly/2UeSNB3 JMP Community: https://bit.ly/2OGPH2I Free Online Statistics Course: https://bit.ly/2Vf51pH JMP New User Welcome Kit: https://bit.ly/2IbhnLS
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Design of Experiments (DOE) – The Basics!!
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D-optimal design – what it is and when to use it
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Engineering the AI-Powered Practice: Scaling Vertical AI on a Foundation of Three Trillion Data
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JMP Academic Series: Creating and Customizing Graphs
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Factorial vs fractional vs response surface designs | when to use what?
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Design of Experiments (DoE) simply explained
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JMP Academic 09-2020: Teaching Design of Experiments
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AI Agents Full Course 2026: Master Agentic AI (2 Hours)
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JMP Academic Series: Teaching Design of Experiments using JMP (23 Feb 2017)
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Fractional Factorial Design (DoE) Simply explained
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Turing Award Winner: Disagreeing with Google, Postgres, Future Problems | Mike Stonebraker
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Central Composite Designs in JMP Software
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Design of experiments (DoE) explained simply
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JMP Basics for Professors and Students (10/11/2016)
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Even a 7-Year-Old Can Do This! Easy DOE in JMP!
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Semiconductor's etching process as a use case for Design of Experiments (DoE)
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Designing and Analyzing Experiments, Pt. 1: An Introduction
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JMP Academic: Intro to JMP for Students
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(Mastering JMP) Process Optimization Using DoE and Design Space Profiler in JMP
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