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Advanced Statistics (year 2019)
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Advanced Statistics (year 2019)
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Academic year 2018/2019
- 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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link to Moodle
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Note
PERIOD: January-February 2019
LOCATION: University Campus at Grugliasco (TO)
TIME: 9-13; 14-18
ROOM: aula GIS (Topografia section)
SCHEDULE:
Thu 10/01 - Sacco: Mixed models
Thu 17/01 - Corsi: Limited dependent variable analysis
Mon 21/01 postponed to Wed 06/02 - Lombardi/Lonati: Cluster analysis
Thu 24/01 postponed to Wed 13/02 - Bollani: Correspondence analysis
Fri 08/02 - Garbarino: PCA and multivariate statistic techniquesATTENTION! 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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