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Advanced Statistics (year 2017)
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Advanced Statistics (year 2017)
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Academic year 2016/2017
- Course ID
- AdStat
- Teacher
- Dott. Michele LONATI (Titolare del corso)
- Degree course
- Didattica generale
- Year
- 1° anno
- Type
- Generale
- Credits/Recognition
- 5 CFR
- Delivery
- Tradizionale
- Language
- Italiano
- Attendance
- Obbligatoria
- Type of examination
- Scritto
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Sommario del corso
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Course objectives
A basic knowledge of Statistics is required to attend this course. Required knowledge includes the following topics:
- Types of variables
- Descriptive statistics: indices of position, variability and shape.
- Probability distributions and representations.
- Calculation of probability using statistical software
- Application on inferential statistics
- The statistical test
- Samples comparison
- First and second type errors
- Comparison between proportions
- One way and multiple ways ANOVA
- Factorial design
- Data transformation for normality tests
- Fixed and random effects in ANOVA
- Non-parametric statistics
- Simple linear regression
- Correlation analysis
- Multiple linear regression
- Introduction to GLM
Suggested readings and bibliography
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Note
PERIOD: December 2017
LOCATION: Campus of University of Torino in Grugliasco (TO)
TIME: 9:00 - 17:00
ROOM: aula GIS (Topografia Unit)
SCHEDULE:
Tuesday 5/12/17 - Sacco: Mixed models
Wednesday 6/12/17 - Lombardi/Lonati: Cluster analysis
Tuesday 12/12/17 - Garbarino: PCA and multivariate statistic techniques
Wednesday 13/12/17 - Corsi: Limited dependent variable analysis
Friday 15/12/17 - Bollani: Correspondence analysisATTENTION! Please consult periodically the course webpage to keep updated on rooms and on changes that may occur in the course schedule (there will be no more communication about).
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