午夜探花

Organizer

Lecturer

Dr. Larisa Yaroslavtseva

Teaching Assistant

Freimut von Loeper

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Time and Place

Lecture

Tuesday 14:00-16:00 pm,  room H14 

Exercise Session

Monday 16:00-18:00 pm, room H14

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Type

2 hours lecture + 1 hour exercise

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Lecture notes

Lecture note1

Lecture note2

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Exercise sheets

The exercise sheets and scores are published on Moodle.

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Further materials

Lecture notes for the statistical software  can be downloaded here.

The graphical user interface RStudio can be downloaded . However, first the programming language R has to be installed. RStudio is not absolutely necessary, but it offers a very clear interface.

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Exam

50% of all credits of the exercise sheets are necessary to participate in the exam.

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Prerequisites

Higher Mathematics, Applied Stochastics I

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Intended audience

Students of non-mathematical cources of study.

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Content

• Descriptive statistics
• Estimator: point estimation, intervall estimation
• Statistical tests

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Further informations

All students are requested to sign up for the exercise using .

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Literature

Click here for the semester programm.

• H. Bauer
  Wahrscheinlichkeitstheorie
  Verlag De Gruyter, Berlin 2002.

• P. Bickel, K. Doksum
  Mathematical Statistics: Basic Ideas and Selected Topics, 2nd edition 
  Prentice Hall, London 2001.

• G. Casella, R.L. Berger
  Statistical Inference, 2nd edition
  Duxbury.Pacific Grove 2002.

• U. Krengel
  Einf眉hrung in die Wahrscheinlichkeitstheorie und Statistik
  Vieweg-Verlag, Braunschweig 2002.

• L. Sachs, J. Hedderich
  Angewandte Statistik - Methodensammlung mit R
  Springer, Berlin 2006.