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Optimal Design of Experiments: A Case Study Approach
Optimal Design of Experiments A Case Study Approach Author:Peter Goos, Bradley Jones This book demonstrates the utility of the computer-aided optimal design approach using real industrial examples. These examples address questions such as the following: How can I do screening inexpensively if I have dozens of factors to investigate?What can I do if I have day-to-day variability and I can only perform 3 runs a day?How can I do RS... more »M cost effectively if I have categorical factors?How can I design and analyze experiments when there is a factor that can only be changed a few times over the study?How can I include both ingredients in a mixture and processing factors in the same study?How can I design an experiment if there are many factor combinations that are impossible to run?How can I make sure that a time trend due to warming up of equipment does not affect the conclusions from a study?How can I take into account batch information in when designing experiments involving multiple batches?How can I add runs to a botched experiment to resolve ambiguities?While answering these questions the book also shows how to evaluate and compare designs. This allows researchers to make sensible trade-offs between the cost of experimentation and the amount of information they obtain.The structure of the book is organized around the following chapters:Introduction explaining the concept of tailored DOE.Basics of optimal design.Nine case studies dealing with the above questions using the flow:descriptiondesignanalysisoptimization or engineering interpretationSummary.Technical appendices for the mathematically curious.« less