A Short Course on “Ordinal Data Analysis”

AUEB Statistics Department hosts a Short Course titled:

A Short Course on “Ordinal Data Analysis”

Undergraduate and postgraduate students are welcomed to attend. The course is also open to non members of the Statistics Department, but with lower priority. There are no fees.

However, due to limited available space, there will be a priority order.

If you are interested, please send an email to the postgraduate secretary (masterst@aueb.gr) in order to fill the appropriate form.

Certificate of attendance will be supplied to all participants that will fully follow the course. 

Details follow:

Maria Iannario
Associate Professor of Statistics
University of Naples Federico II, Naples, Italy
**
A Short Course on “Ordinal Data Analysis”**

Room 609
(6th floor of the Postgraduate Building of Athens University of Economics and Business - Evelpidon & Lefkados).
12:00-15:00

Wednesday 5 April 2023
T 1: Ordinal response models: Standard models for ordinal data
T 2: Modelling rating data using a new mixture to account for the Uncertainty

Thursday 6 April 2023
T 3: Inflated models for ordinal data: Zero Inflated Proportional Odds Models -Gecub
T 4: Modelling overdispersion in ordinal data: CUBE models
T 5: Mixture distributions in ordinal data models: CUP models

Friday 7 April 2023
T 6: Recent developments and open issues for modelling ordinal data
Laboratory in R

GOALS

  • Learn to understand advanced models and analysing methods for ordinal data and are aware of
    their limitations.

  • Become able to analyse methods to ordinal data even in unconventional situations.

  • Learn to choose appropriate methods for real data and apply them by means of exercises and laboratories
    in the environment R to practically deepen theoretical aspects.
    T: Theory

  • The course is financed by the M.Sc. in Statistics of Athens University of Economics and Business.

  • Certificate of attendance will be provided (electronically) to all participants attending at least 2 out of 3 days.

Ημερομηνία Εκδήλωσης: 
Wednesday, April 5, 2023 - 12:00