Learning materials for DOE ?

[#1]

I am a statistician and must train myself in DOE for my new role. Since I have no prior knowledge or experience in DOE, I am looking for training materials (books, courses, etc.) to help me quickly fill the gap.

Below are my main goals:

1. Know how to choose the most optimal plan given the situation
2. Know how to ask efficient questions to stakeholders to refine the plan
3. Analyze the results
4. Know how to apply all these steps with JMP

I can spend 4 hours per day on learning and would love to achieve my goals in 3-4 weeks. Ideally, I would like to limit my sources of learning materials to 1-2.

Do you have any recommendations for me?

Thank you,

H

[#2 · Accepted solution]

I recommend starting with the SAS/JMP "Statistical Thinking for Industrial Problem Solving" online, free course. Here's a link to the home page: Statistical Thinking for Industrial Problem Solving 

Two main advantages: 1. You'll learn the basics of DOE from a problem solving context point of view. 2. And 'how to' in JMP.

For more of a reference point of view, two recommendations are "Statistics for Experimenters", Box, Hunter and Hunter and "Optimal Design of Experiments" by Jones and Goos. Neither of these books show you 'how to' in JMP...but once you complete the STIPS course you'll be fluent enough in JMP to replicate the examples in the books without too much trouble.

[#3]

Thank you for the recommendations.

[#4 · Accepted solution]

Hi @stat_mr_h,

Welcome in the Community !

You could maybe start with the excellent ressources JMP offers, in order to combine learning and practice :

• Statistical Thinking (STIPS) - Free Online Statistics Course | JMP
• Design of Experiments Intro Kit | Getting Started with JMP
• Design of Experiments (DOE) Course | JMP
• Design of Experiments | JMP

And some other JMP ressources listed by @maria_astals in the JMP Design of Experiments Club discussions.

You can also join Design of Experiments Club, a group of passionate DoE users with quarterly meetings and insightful discussions. Next meeting is planned on 11th June : https://www.jmp.com/en_gb/events/users-groups/users-group-meetings/doe-community-of-practice-multi-r... 

This JMP quizz would be a good starting point to have a first recommendation about which type of design to try first : DOE Quiz (jmp.com)

• Course on DoE by @philramsey, there are some specific parts about classical Factorial designs, Mixture designs, Definitive Screening designs and Response Surface designs : https://www.youtube.com/watch?v=Lzbt8TwVhdA&list=PLxfm_owPoF2FCvQPrt0RLsn6mOyAJ1rb_&index=1
• "Specialization Design of experiments" by Douglas C. Montgomery on Coursera : https://www.coursera.org/specializations/design-experiments 

Concerning book recommendation, you may be interested in "Optimal designs of experiments, a case study approach" by Peter Goos and Bradley Jones.

You can also check the blog posts from Synthace, they have interesting articles to better understand DoE : Blog - Synthace. They have also listed and recommended some books on DoE depending on your understanding, level and interests : 7 Design of Experiments Books We Love in 2023 - Synthace

Hope these courses recommandations will help you,

[#5]

Thanks Victor for the detailed roadmap. Really appreciate it!