After successful completion of the course, students are able to master the theoretical background of linear regression models and to apply these methods for concrete data sets, as well as interpreting the corresponding software output and test statistical hypothesis.
Simple and multiple linear regression model, least-squares estimation, geometric interpretation, Frisch-Waugh, coefficient of determination, classical linear regression model, Gauss-Markov theorem, variance estimation, testing linear hypotheses, t-test, F-test, generalized linear regression model, Aitken estimator, asymptotic analysis.
Wir stellen auf online Modus um. Alle Infos finden Sie bis auf weiteres auf der TUWEL Kursseite.
Die Vorlesung startet mit einer Vorbesprechung am Dienstag, 6. Oktober 2020 um 14h15 (EI 14 Reithoffer HS).
