Designing and Analyzing Experiments, Pt. 2: Advanced Topics

Post comments and access the JMP files here: https://community.jmp.com/t5/Learn-JM... View Part 1 here: https://community.jmp.com/t5/Learn-JM... Following on the previous webinar, Designing and Analyzing Experiments, Pt. 1: An Introduction, this webinar introduces a selection of intermediate and advanced concepts and techniques in the design of experiments (DOE) and how to apply them in JMP. Topics include: Statistically optimal designs that are custom-built to unique experimental settings Accommodating restrictions on randomization (e.g., split plot designs) Accommodating constraints on the factor space Constructing sequential designs Recorded July 16, 2024. Register for upcoming live JMP Academic webinars at https://www.jmp.com/academic-webinars. Try JMP: https://www.jmp.com/try JMP Academic resources: https://www.jmp.com/academic JMP for Students https://www.jmp.com/student 0:00 Introduction 6:58 Classical Design to Modern Optimal Designs 11:55 Polymer Case Study Overview 13:22 Specifying Factors and Responses 17:41 Specifying the Regression Model 19:24 Choosing the Number of Runs 21:12 Specifying the Model and Runs, pt. 2 23:15 Generating the Design 27:47 Analyzing the Data 32:12 Q&A 34:41 Blocking 37:49 Split-Plot Designs 40:26 Factor Constraints 42:40 Covariates and Candidate Sets 47:26 Controlling the Custom Design Algorithm 48:52 Special-Purpose Designs 50:16 Center Points and Replicates 53:15 Design Evaluation 56:50 Sequential Experiments 58:19 Space-Filling Designs 1:00:19 Wrap-Up 1:03:07 Q&A