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discopt-doe
Getting Started
The browser app
Choosing a design
Model-Based Design of Experiments
Design of Experiments from the Command Line
Batch / Parallel Design of Experiments
Classical Designs
Factor Screening with 2-Level Factorial Designs
Mixture Designs
Latin-Square Designs and ANOVA
Model-Based & Sequential DoE
Model-Based Design of Experiments
Identifiability and Estimability Analysis
Model-Based Active Learning for Response Optimization
Model Discrimination Workflow
Active-Learning Optimization
Active-Learning Optimization with a Surrogate
Appendix
References
Repository
Open issue
Index
