Designing and Analyzing Experiments, Pt. 2: Advanced Topics

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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.

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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