No.: 506050/506051, Semester: 3. S[860], Type: Lecture/Practical, Hours/Week: 3 L / 1 P

Lecturer
Ernst Stadlober / Ernst Stadlober

Status of the Course
Compulsory course of  Master Studies in Technical Mathematics

Aims and objectives
To provide a solid introduction to the way of statistical thinking and working. To learn the theory of the general linear model and the most important techniques of experimental design used in practice.

Teaching method
Analysis of characteristic examples from different fields of application. Case studies from technical and biological sciences as well as environmental research using R2.8.0 (and SPSS 17.0)

Contents
Structuring of a problem
Elements of exploratory data analysis and mathematical statistics
The general linear model
Experiments with a single factor: The analysis of variance
Randomized blocks and latin squares
Factorial designs
The 2^k factorial design

Pre-requisites
Probability Theory, Statistics, Mathematical Statistics.

Teaching aids
Jorgensen, B.(1993): The Theory of Linear Models. Chapman & Hall, New York.
Bühl, A. Zöfel, P. (2004): SPSS 12, Einführung in die moderne Datenanalyse unter Windows, 9. Aufl., Pearson Studium, München.
Dalgaard P. (2002): Introductory Statistics with R, Springer, Berlin.
Montgomery, D. C. (2008): Design and Analysis of Experiments, 7th Edition, John Wiley, New York.
Stadlober, E. (2009): Angewandte Statistik, Skriptum, Institut fuer Statistik, 160 S.
Toutenburg, H. (1995): Experimental Design and Model Choice, Physica-Verlag, Heidelberg.
Wu, J., Hamada, M. (2000): Experiments - Planning, Analysis, and Parameter Design Optimization, John Wiley, New York.

Examination method
L: oral , P: case studies including written reports and oral presentations

Download DATA: aimu.txt aimu_1985.dat grazluft.xls baum.txt blutdruck.txt eislauf.sav eislauf1.sav

Winter Semester 2009/2010

    Monday, 9.00 - 10.45, SR Münzgrabenstraße 11/EG     Wednesday, 10.30 - 11.45, SR Münzgrabenstraße 11/EG

    Start: October 5, 2009