Design and Analysis of Experiments (8 ECTS)
Introduction to Design and Analysis of Experiments. Single factor experiments. Multiple Comparisons. Random Effects Model. Non-parametric ANOVA. Randomized Complete Block Design: one controllable nuisance factor. Latin square design: blocking two controllable nuisance factors. Balanced Incomplete Block Design. Factorial Designs: two factors with/without interaction. The general factorial Designs: more than two factors with interactions. 2^2, 2^3 and 2^k factorial designs. Fractional factorial designs. Nested and Split Plot Designs. Examples and case studies using R.
Recommended Reading
- D. C. Montgomery (2020). “Design and analysis of experiments”, Wiley.
- Χασιώτης Β. και Χαλικιάς Μ. (2023). “Πειραματικοί Σχεδιασμοί και Στατιστική Ανάλυση” Κάλλιπος (https://repository.kallipos.gr/handle/11419/11674?&locale=el)
- D. D. Voss and D. Draguljic (2017). “Design and Analysis of Experiments”, Springer.
- F. J. Wu and M. S. Hamada (2021). “Experiments: Planning, Analysis, and Optimization”, Wiley.
- J. Lawson (2014). “Design and Analysis of Experiments with R”, Chapman & Hall.
Συναφή επιστημονικά περιοδικά:
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Περιοδικό “Significance” από την Royal Statistical Society - https://rss.org.uk/news-publication/publications/significance/



Patision 76
UNDERGRADUATE PROGRAM SECRETARIAT
