040772 UK Complex Statistical Methods (2018W)
Continuous assessment of course work
Labels
Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
- Registration is open from Mo 10.09.2018 09:00 to Th 20.09.2018 12:00
- Deregistration possible until Mo 15.10.2018 23:59
Details
max. 30 participants
Language: German
Lecturers
Classes (iCal) - next class is marked with N
Thursday
04.10.
13:15 - 14:45
Studierzone
Thursday
11.10.
13:15 - 14:45
Studierzone
Thursday
18.10.
13:15 - 14:45
Studierzone
Thursday
25.10.
13:15 - 14:45
Studierzone
Thursday
08.11.
13:15 - 14:45
Studierzone
Thursday
15.11.
13:15 - 14:45
Studierzone
Thursday
22.11.
13:15 - 14:45
Studierzone
Thursday
29.11.
13:15 - 14:45
Studierzone
Thursday
06.12.
13:15 - 14:45
Studierzone
Thursday
13.12.
13:15 - 14:45
Studierzone
Thursday
10.01.
13:15 - 14:45
Studierzone
Thursday
17.01.
13:15 - 14:45
Studierzone
Thursday
24.01.
13:15 - 14:45
Studierzone
Thursday
31.01.
13:15 - 14:45
Studierzone
Information
Aims, contents and method of the course
Assessment and permitted materials
Presentation of exercises during the semester
Midterm exam
Fibnal exam
Midterm exam
Fibnal exam
Minimum requirements and assessment criteria
Attendence of the lectures (At most 3 units missing)
Presentation of exercises. For each Part there is one execise sheet. Each exrcise sheet counts for 30 point
Midterm exam about part 1 and part 2 (60 points)
Final exam about part 3 and part 4 (60 ppoints)
For positive assessment each of the parts must be positive
Presentation of exercises. For each Part there is one execise sheet. Each exrcise sheet counts for 30 point
Midterm exam about part 1 and part 2 (60 points)
Final exam about part 3 and part 4 (60 ppoints)
For positive assessment each of the parts must be positive
Examination topics
Contents of the Lecture
Reading list
Part 1: Carl-Erik Särndal, Bengt Swensson, Jan Wretman: Model Assisted Survey Sampling. Springer Series in Statistics, 1992
Part 2: S. Laaksonen: Survey Methodology and Missing Data: Tools and Techniques for Practitioners. Springer 2018
P. Christen: Data Matching: Concepts and Techniques for Record Linkage, Entity Resolution, and Duplicate Detection (Data-Centric Systems and Applications), Springer
Part 3, Part 4: : C. P. Robert, G. Casella: Introducing Monte Carlo Methods with R. Springer Use R Series, 2010
Part 2: S. Laaksonen: Survey Methodology and Missing Data: Tools and Techniques for Practitioners. Springer 2018
P. Christen: Data Matching: Concepts and Techniques for Record Linkage, Entity Resolution, and Duplicate Detection (Data-Centric Systems and Applications), Springer
Part 3, Part 4: : C. P. Robert, G. Casella: Introducing Monte Carlo Methods with R. Springer Use R Series, 2010
Association in the course directory
Last modified: Mo 07.09.2020 15:29
Part 1: Basics of survey sampling, Model assisted survey sampling
Part 2: Methods of data cleaning and data integration
Part 3: Simulation and Markov Chain Monte Carlo Methods
Part 4: Statistical Applications of Markov Chain Monte Carlo methods