Cancelled
10147311
Seminar-style instruction
Analyzing Discrete Survey Answers
Ulrich Schneider
Comments
This course focuses on estimating models with discrete dependent variables, presenting a rigorous academic exploration of statistical methods and their application to real-world datasets. Through an examination of maximum likelihood estimation and various models, including linear regression, binary models (logit and probit), multinomial models, and count data analysis, students will gain a comprehensive understanding of the complexities inherent in analyzing discrete outcomes. Hands-on exercises using \texttt{R} software will provide practical experience in model implementation and interpretation, enabling students to conduct sophisticated data analysis with precision and confidence.
- Introduction
- Maximum Likelihood
- Linear Models
- Binary Models
- Multinomial Models
- Models for Count Data
- Generalized Models for Discrete Outcomes
12 Class schedule
Regular appointments
Mon, 2025-04-14 16:00 - 18:00
Mon, 2025-04-28 16:00 - 18:00
Mon, 2025-05-05 16:00 - 18:00
Mon, 2025-05-12 16:00 - 18:00
Mon, 2025-05-19 16:00 - 18:00
Mon, 2025-05-26 16:00 - 18:00
Mon, 2025-06-02 16:00 - 18:00
Mon, 2025-06-16 16:00 - 18:00
Mon, 2025-06-23 16:00 - 18:00
Mon, 2025-06-30 16:00 - 18:00
Mon, 2025-07-07 16:00 - 18:00
Mon, 2025-07-14 16:00 - 18:00