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Statistical methods in design, production and verification processes
04QDBRP
A.A. 2021/22
Course Language
Inglese
Degree programme(s)
Doctorate Research in Gestione, Produzione E Design - Torino
Course structure
| Teaching | Hours |
|---|---|
| Lezioni | 20 |
Lecturers
| Teacher | Status | SSD | h.Les | h.Ex | h.Lab | h.Tut | Years teaching |
|---|---|---|---|---|---|---|---|
| Fontana Roberto | Professore Ordinario | STAT-01/A | 10 | 0 | 0 | 0 | 1 |
Co-lectures
Context
| SSD | CFU | Activities | Area context |
|---|---|---|---|
| *** N/A *** |
The course is aimed to introduce applied statistical methods and the relevant theoretical basis of Calculus of Probability and Statistics to Ph.D. students in several fields of engineering. Subjects such as ANOVA, Regression analysis, Design of Experiments are dealt with in the course from a theoretical point of view, as well as underlining application in economics and technology with several examples. Some examples will be introduced with the use of statistical software. The package is resorted to in order to clarify some operational aspects of the methods presented.
Master degree or equivalent qualification for the course subjects
Logical and statistical foundations, Exploratory Data Analysis.
Analysis of Variance and Covariance: partitioning the variability; designed experiments and controlled factors: assigning the variability to different factors; main effects and interactions; significance test for main effects and interactions. Discussion of software outputs.
Modeling. Linear regression and Generalized Linear models (exploratory data analysis, parameters estimation, quality of estimates, prediction). Decomposition of the variability; assigning the observed variability in designed experiments to the single variables; statistical tests for the significance of the variables. Discussion of software outputs.
On site
Written report presentation
P.D.2-2 - March