Search result: Catalogue data in Autumn Semester 2019

CAS in Applied Statistics Information
Compulsory Courses
NumberTitleTypeECTSHoursLecturers
447-0649-01LApplied Statistical Regression I Restricted registration - show details
Only for DAS and CAS in Applied Statistics.
O4 credits1V + 1UM. Tanadini
AbstractSimple and multiple regression models, with emphasis on practical aspects and interpretation of results, analysis of residuals and model selection.
ObjectiveUnderstanding the multiple linear regression model and its importance for modelling and prediction. Practice of regression analyses using the statistical software R and correct interpretation of results. Model critique by analysis of residuals. Strategies for model selection.
447-0625-01LApplied Analysis of Variance and Experimental Design I Restricted registration - show details
Only for DAS and CAS in Applied Statistics.
O3 credits1V + 1UL. Meier
AbstractPrinciples of experimental design, one-way analysis of variance, contrasts and multiple comparisons, multi-factor designs and analysis of variance, complete block designs, Latin square designs.
ObjectiveParticipants will be able to plan and analyze efficient experiments in the fields of natural sciences. They will gain practical experience by using the software R.
LiteratureG. Oehlert: A First Course in Design and Analysis of Experiments, W.H. Freeman and Company, New York, 2000.
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