- Docente: Daniela Cocchi
- Credits: 10
- SSD: SECS-S/01
- Language: Italian
- Moduli: Daniela Cocchi (Modulo 1) Michele Scagliarini (Modulo 2)
- Teaching Mode: In-person learning (entirely or partially) (Modulo 1); In-person learning (entirely or partially) (Modulo 2)
- Campus: Bologna
- Corso: Second cycle degree programme (LM) in STATISTICS, ECONOMICS AND BUSINESS (cod. 8056)
Learning outcomes
The course offers intermediate and advanced topics in finite population inference. The student will be able to plan a new survey design and to analyze and summarize the obtained information by a survey with advanced theoretical tools.
Course contents
The source of randomness in sampling from finite populations: design based in model based inference. The predictive approach.
Design based inference for structured populations. Sampling of complex units.
Cluster sampling for clusters of equal and different size. Cluster sampling with varying probability, ratio estimation in cluster sampling. Systematic sampling as a special case of cluster sampling.
Two stage sampling with varying probability, simple random sampling in two stage sampling and primary units with constant size.
The basic superpopulation modes: estimators and their variances.
Generalized regression estimators (GREG) for design-based model-assisted inference. Calibration and balancing.
Small area inference: design based estimators and Best Linear Unbiased Predictors. Area level and unit level models.
Readings/Bibliography
A syllabus (by Daniela Cocchi, in Italian) is
downloadable. Chapters 1-7 correspond to an introductory course.
The content of the module goes through Chapters 8, 9, 10, 12 and
13. Download the complete syllabus from the course teaching
materials.
Further indications will be provided during the course.
Teaching methods
lectures
Assessment methods
Written and oral test .
Teaching tools
A file with the most important formulae can be downloaded
Office hours
See the website of Daniela Cocchi
See the website of Michele Scagliarini