STATISTICS AND PROBABILITY
Academic year and teacher
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- Versione italiana
- Academic year
- 2015/2016
- Teacher
- VINCENZO GUIDI
- Credits
- 6
- Curriculum
- INDUSTRIALE
- Didactic period
- Primo Semestre
- SSD
- FIS/01
Training objectives
- Aim of the course is to provide the tools to:
- Modeling by means of the theory of probability and random variables;
- Data analysis by means of descriptive and inferential statistics. Prerequisites
- It is required knowledge of tools of differential and integral calculus of functions of several variables.
Course programme
- Probability and its applications in science and technology. Theory of random variables. Models of random variables. Convergence of random variables. Theory of the samples. Theory of parametric estimation. Non-parametric estimation theory. Parametric and non-parametric hypothesis testing,
Didactic methods
- Directly imparted lectures and exercises. After-lecture exercises and their tutored resolution in class.
Learning assessment procedures
- Written and oral tests at the end of the course. Partial tests during the course.
Reference texts
- • Pasquale Erto, “Probabilità e statistica per le scienze e per l’ingegneria” (McGraw-Hill, seconda edizione, 2004).
• Murray R. Spiegel, "Probabilità e statistica" (McGraw-Hill, 1994).
• Stefano Campostrini e Francesca Perpinel, “Introduzione all’inferenza statistica” (Zanichelli, ¿prima edizione, 1996)
• Lecture notes
