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040713 UK Applied Statistics (2017W)
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 Fr 08.09.2017 09:00 to Th 21.09.2017 12:00
- Deregistration possible until Sa 14.10.2017 23:59
Details
max. 50 participants
Language: German
Lecturers
Classes (iCal) - next class is marked with N
Monday
09.10.
16:45 - 18:15
Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Monday
16.10.
16:45 - 18:15
Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Monday
23.10.
16:45 - 18:15
Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Monday
30.10.
16:45 - 18:15
Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Monday
06.11.
16:45 - 18:15
Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Monday
13.11.
16:45 - 18:15
Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Monday
20.11.
16:45 - 18:15
Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Monday
27.11.
16:45 - 18:15
Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Monday
04.12.
16:45 - 18:15
Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Monday
11.12.
16:45 - 18:15
Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Monday
08.01.
16:45 - 18:15
Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Monday
15.01.
16:45 - 18:15
Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Monday
22.01.
16:45 - 18:15
Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Monday
29.01.
16:45 - 18:15
Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Information
Aims, contents and method of the course
The lecture treats a number of important questions in application of statistics. In particular the following topics will be discussed: Basic Concepts of Statistics, Data Collection, Statistical Techniques used in Applied Statistics, Interpretation of Results, Modelling Strategies, Model Validation
Assessment and permitted materials
Attendance of lectures, Solving practical exercises, final test
Minimum requirements and assessment criteria
Students get familiar with a number of statistical methods and learn about critical points in the application of statistical methods.
Examination topics
The theoretical part of the course gives an introduction into the different topics. In the practical part students solve examples with R.
Reading list
David R. Cox, Christl A. Donelly: Principles of Applied Statistics. Cambridge University Press, 2011.Everitt, B. S., Hothorn, T.: A Handbook of Statistical Analysis using R, Chapman&Hall/CRC, 2006.
Faraway, J.J.: Extending the Linear Model with R, Chapman&Hall/CRC, 2006.
Good, P. I., Hardin, J.W.: Common errors in Statistics (and how to avoid them), 3rd ed. J. Wiley&Sons 2009.
Groves, R.M. et al.: Survey Methodology, J. Wiley, 2004 (2010).
Royall, R.: Statistical Evidence – A Likelihood paradigm, Chapman&Hall 1997
Gerald van Belle: Statistical Rules of the Thumb, Wiley 2008.
Faraway, J.J.: Extending the Linear Model with R, Chapman&Hall/CRC, 2006.
Good, P. I., Hardin, J.W.: Common errors in Statistics (and how to avoid them), 3rd ed. J. Wiley&Sons 2009.
Groves, R.M. et al.: Survey Methodology, J. Wiley, 2004 (2010).
Royall, R.: Statistical Evidence – A Likelihood paradigm, Chapman&Hall 1997
Gerald van Belle: Statistical Rules of the Thumb, Wiley 2008.
Association in the course directory
Last modified: Mo 07.09.2020 15:29