- Docente: Maria Pia Victoria Feser
- Crediti formativi: 6
- SSD: SECS-S/01
- Lingua di insegnamento: Inglese
- Modalità didattica: Convenzionale - Lezioni in presenza
- Campus: Bologna
- Corso: Laurea Magistrale in Applied Economics and Markets (cod. 5969)
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dal 08/11/2023 al 13/12/2023
Conoscenze e abilità da conseguire
At the end of the course students are expected to have a deep knowledge of main concepts and tool of inferential statistics - estimation, confidence intervals, hypothesis testing – for the probabilistic models that are exploited in advanced economic and econometric courses of the master degree. Moreover, students should be able to apply these models not only in univariate scenarios both also in a multivariate framework.
Contenuti
- Introduction to data analysis and simulations with `R`.
- Discrete Probability Distribution Functions (binomial, Poisson, negative binomial).
- Continuous Probability Distribution Functions (uniform, exponential, normal).
- Empirical data analysis (empirical PDF, summary statistics, descriptive data analysis).
- Estimation methods (maximum likelihood estimator, properties).
- Linear regression model.
- Logistic regression model.
Orario di ricevimento
Consulta il sito web di Maria Pia Victoria Feser