Experimental Design
This course discusses the design of factorial experiments. Initially, the focus is on completely randomized experimental designs. Next, the focus shifts to experimental designs involving a restricted randomization. First, the concept of blocking is discussed. Next, split-plot and strip-plot designs are studied.
Praktische info:
Leertraject
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- Voorwaarden: Knowledge of basic statistics, regression analysis (least squares, multicollinearity), and matrix algebra (matrix products, inverse matrices, determinants).
- Prijs: €220-€1100
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The emphasis in the course is on the optimal design of experiments. In optimal design of experiments, the experimental design is tailored to the problem at hand (unlike classical experimental design, where standard designs from catalogs are chosen).
The course builds on concepts from regression and analysis of variance, such as fixed and random effects, power calculations, variance inflation factors, multicollinearity, confidence intervals, prediction and lack-of-fit tests.
Every topic in the course is introduced and illustrated by means of a case study from industry. The case studies are realistic in the sense that they involve quantitative and qualitative experimental factors, experimenters have to deal with limited budgets and difficulties to randomize, and forbidden combinations of factor levels. In each of the case studies, the goal is to enhance to performance of a process or a product.
The statistical software package used is JMP.
Target audience
The target audience for the course is master students or Ph.D. students in statistics, engineers and engineering students planning to perform experiments. The course is ideal for Six Sigma black belts, quality managers and people working in environments where collecting data is expensive.
Lesgever/spreker
I am a specialist in statistical design and analysis of experiments. I like to teach courses on this subject, and to assist experimenters wanting to take an empirical approach in linking controllable factors with product or process properties. My track record includes experiments on beer brewing, cheese making and flour processing on an industrial scale. My consultancy activities are strengthened by academic research which I usually conduct jointly with my PhD students. I am proud on the scientific publications generated by this research.
Specialty: efficient screening designs, which allow you to investigate many controllable factors with the purpose to reveal the few really influential ones.
