701-1541-00L Multivariate Methods
| Semester | Autumn Semester 2018 |
| Lecturers | R. Hansmann |
| Periodicity | yearly recurring course |
| Language of instruction | English |
| Comment | One of the lectures 701-1541-00 (autumn semester) OR 752-2110-00 (spring semester) are highly recommended for students in Environmental Sciences with the Major Environmental systems and Policy. |
| Abstract | The course teaches multivariate statistical methods such as linear regression, analysis of variance, cluster analysis, factor analysis and logistic regression. |
| Learning objective | Upon completion of this course, the student should have acquired: (1) Knowledge on the foundations of several methods of multivariate data analysis, along with the conditions under which their use is appropriate (2) Skill in the estimation, specification and diagnostics of the various models (3) Hands-on experience with those methods through the use of appropriate software and actual data sets in the PC lab |
| Content | The course will begin with an introduction to multivariate methods such as analysis of variance and multiple linear regression, where a metric dependent variable is "explained" by two or more independent variables. Then two methods for structuring complex data, cluster analysis and factor analysis will be covered. In the last part, procedures for the analysis of relationships involving dichotomous or polytomous dependent variables (e.g., the choice of a mode of transportation) will be discussed. |
| Literature | Will be announced at the beginning of the course. |