Advanced Topics in Experimental Delineation
Presentation
Sustainable Development Goals
Learning Goals
To study basic principles and concepts of experimental design and to provide students with essential statistical tools in the analysis of several experimental designs.
Competences:
To develop student’s capacity to selected and organize information, in a critical way.
To understand some fundamental statistical tools of experimental designs.
To validate different parametric approaches based on their objectives.
To recognize and to know how and when to apply nonparametric approaches.
To stimulate autonomous learning and adaptation to new situations.
Contents
2. Factorial designs and fractional factorial designs.
3. Split-plot designs. Split-Block designs. Repeated measures and their relationship with the Split-Plot designs and Split Block designs.
4. Lattice Designs.
5. Crossover Designs.
6. Response Surface Methods.
Teaching Methods
Introduction to theoretical concepts appealing to different areas of applications to illustrate the importance of course contents. Exercises with an emphasis on the resolution of real problems, to motivate interest in the course and to demonstrate its utility.
To stimulate individual and group participation within the classroom and at home.
To emphasize the critical analysis and interpretation of data, appealing to software outputs as much as possible.
Evaluation:
To privilege continued evaluation carrying out one test (50%) plus individual/group homework projects (50%). If the continuous evaluation is not feasible for the student, a final examination is possible, but the individual/group project is still required although with lesser weight for final grade (25%).
Assessment
Recommended Reading
1. Hinkelmann, K., Kempthorne, O. (2008): Design and Analysis of Experiments- An Introduction to Experimental Design, Vol.1, 2nd Edition, Wiley Series in Probability and Statistics
2. Hinkelmann, K., Kempthorne, O. (2005): Design and Analysis of Experiments – Advanced Experimental Design, Vol. 2, Wiley Series in Probability and Statistics.
3. Kempthorne, O. (2012): Design and Analysis of Experiments- Special Designs and Applications, Vol.3, Wiley Series in Probability and Statistics
4. Montgomery, D. C. (2009). Design and Analysis of Experiments, 7th Ed., John Wiley.
5. Ruxton, G.; Colegrave, N. (2010). Experimental Design for the Life Sciences, 3rd Ed., Oxford University Press.
6. Zar, J. H. (2009). Biostatistical Analysis, 5th Ed., Prentice Hall.
