Enrollment year
2014/2015
Academic discipline
SECS-S/06 (MATHEMATICS FOR ECONOMICS, ACTUARIAL STUDIES AND FINANCE)
Department
DEPARTMENT OF MATHEMATICS "FELICE CASORATI"
Curriculum
PERCORSO COMUNE
Period
1st semester (01/10/2014 - 15/01/2015)
Lesson hours
44 lesson hours
Activity type
WRITTEN TEST
Prerequisites
Some basic notions and techniques of Statistical Inference will be recalled at the beginning of the course. Nonetheless, students will considerably benefit from some familiarity with problems of point estimation, interval estimation and hypothesis testing as they are commonly illustrated in introductory Statistics courses
Learning outcomes
The course aims at providing basic understanding of statistical data analysis and modelling using a hands-on approach.
Lectures are complemented by an introduction to the statistical software R.
Course contents
- Linear regression
- Classification trees and smoothing splines
- Logistic regression
- Principal components
- Cluster Analysis
Teaching methods
Class lectures consist in the projection and discussion of slides, which are made available online to students for download. The statistical methodologies that are described during lectures are always motivated by specific examples with real data.
Reccomended or required readings
Jank, W. (2011). Business Analytics for Managers. Springer, New York.
Afifi, A., May, S. and Clark, V.A. (2012). Practical Multivariate Analysis. Taylor and Francis,
Boca Raton.
Assessment methods
Written test
Further information
Exam grade average: 26.2
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