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Advanced Statistics (year 2016)
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Advanced Statistics (year 2016)
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Academic year 2015/2016
- Course ID
- AdStat
- Teaching staff
- Prof. Giampiero LOMBARDI (Titolare del corso)
Dott. Michele LONATI (Titolare del corso) - Degree course
- Didattica generale
- Year
- 1° anno
- Type
- Generale
- Credits/Recognition
- 5 CFR
- Course disciplinary sector (SSD)
- AGR/02 - agronomia e coltivazioni erbacee
BIO/03 - botanica ambientale e applicata - Delivery
- Tradizionale
- Language
- Italiano
- Attendance
- Obbligatoria
- Type of examination
- Scritto
- Prerequisites
- Only PhD students with a solid basic knowledge of statistics will be admitted to the 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.Please contact us before early February, 2016 if you fear a lack of basic knowledge, we will find a solution together.
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Sommario del corso
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Program
Five seminars as specified hereafter.
Suggested readings and bibliography
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Note
PERIOD: November, 2016
LOCATION: Campus of University of Torino in Grugliasco (TO)
TIME: ore 9.00-13.00, 14.00-18.00
ROOM: aula GIS (ULF Topografia)
SCHEDULE:
Monday 21/11/2016 - Bollani: Correspondence analysis
Wednesday 23/11/2016 - Lombardi/Lonati: Cluster analysis
Friday 25/11/2016 - Sacco: Mixed models
Tuesday 29/11/2016 - Corsi: Limited dependent variable analysis
Thursday 01/12/2016 - 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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