OFFICIAL STATISTICS
| Title | ΕΠΙΣΗΜΕΣ ΣΤΑΤΙΣΤΙΚΕΣ (ΕΜΟS) / OFFICIAL STATISTICS |
| Code | ΣΜΥ015 |
| Faculty | Sciences |
| School | Mathematics |
| Cycle / Level | 2nd / Postgraduate |
| Teaching Period | Winter/Spring |
| Coordinator | Vasileios Karagiannis |
| Common | Yes |
| Status | Active |
| Course ID | 600025950 |
Programme of Study: PMS Tmīmatos Mathīmatikṓn (2025-2030)
Registered students: 0
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| STATISTIKĪ, MONTELOPOIĪSĪ KAI YPOLOGISTIKES METHODOI | Elective Courses belonging to the selected specialization | Spring | - | 10 |
| Academic Year | 2025 – 2026 |
| Class Period | Spring |
| Instructors from Other Categories | |
| Weekly Hours | 3 |
| Total Hours | 39 |
| Class ID | 600268433
|
Type Of Offer
- Disciplinary Course
Course Type 2021
Specialization / Direction
Mode of Delivery
- Face to face
- Distance learning
Digital Course Content
- e-Study Guide https://qa.auth.gr/en/class/1/600268433
Language of Instruction
- Greek (Instruction, Examination)
Prerequisites
Required Courses
- ΣΜΥ002 LINEAR,GENERALIZED AND MIXED MODELS
- ΣΜΥ003 SAMPLING AND STATISTICAL INFERENCE
General Prerequisites
Statistics, Linear Mixed Models, Sampling, Probability
Learning Outcomes
Upon successful completion of the course, students will be able to:
1. address sampling estimation problems in small areas.
2. use auxiliary variables with known census data.
3. handle and solve problems related to nonresponse in primary or secondary sampling units.
4. manage and resolve issues related to the imputation of missing values.
General Competences
- Apply knowledge in practice
- Retrieve, analyse and synthesise data and information, with the use of necessary technologies
- Adapt to new situations
- Make decisions
- Work autonomously
- Work in teams
- Work in an international context
- Work in an interdisciplinary team
- Generate new research ideas
- Design and manage projects
- Be critical and self-critical
- Advance free, creative and causative thinking
Course Content (Syllabus)
Small Area Estimation (SAE), Direct and Indirect Estimators, Model Assisted Estimation, Fay-Herriot Model, Estimation under Nonresponse, Multiple Missing Data Imputation
Keywords
Official Statistics, Model Assisted Sampling, Fay-Herriot, Small Area Estimation, Nonresponse Bias, Weighting Adjustments, Missing Values
Educational Material Types
- Notes
- Slide presentations
- Book
Use of Information and Communication Technologies
Use of ICT
- Use of ICT in Course Teaching
- Use of ICT in Laboratory Teaching
- Use of ICT in Communication with Students
- Use of ICT in Student Assessment
Description
PowerPoint presentations, Practice with data of real problems and studies using the statistical software R
Course Organization
| Activities | Workload | ECTS | Individual | Teamwork | Erasmus |
|---|---|---|---|---|---|
| Lectures | 39 | ||||
| Reading Assigment | 183 | ||||
| Tutorial | 13 | ||||
| Project | 20 | ||||
| Written assigments | 40 | ||||
| Exams | 5 | ||||
| Total | 300 |
Student Assessment
Description
The final grade for this course will be calculated as follows:
1. Final Written Exams 50%
2. Written Coursework Assignment 50%
Student Assessment methods
- Written Exam with Multiple Choice Questions (Formative, Summative)
- Written Exam with Short Answer Questions (Formative, Summative)
- Written Exam with Extended Answer Questions (Formative, Summative)
- Written Assignment (Formative, Summative)
- Performance / Staging (Formative, Summative)
- Written Exam with Problem Solving (Formative, Summative)
- written exams
Bibliography
Additional bibliography for study
1. Särndal, Carl-Erik, Swensson, Bengt, and Wretman, Jan (1992). Model Assisted Survey Sampling, Springer
2. Rao, J.N.K. & Molina, Isabel (2015). Small Area Estimation (2nd Edition), Wiley
3. Fuller, Wayne A. (2009). Sampling Statistics, Wiley
4. Lohr, Sharon L. (2021). Sampling: Design and Analysis (2nd Edition), CRC Press
5. Little, Roderick J.A. & Rubin, Donald B. (2019). Statistical Analysis with Missing Data (3rd Edition), Wiley
6. van Buuren, Stef (2018). Flexible Imputation of Missing Data (2nd Edition), CRC Press
7. Richard Valliant, Jill A. Dever, and Frauke Kreuter (2018). Practical Tools for Designing and Weighting Survey Samples (2nd Edition), Springer
8. Lumley, Thomas (2010). Complex Surveys: A Guide to Analysis Using R, Wiley
Last Update
19-05-2025
