447-6289-00L  Sampling Surveys

SemesterAutumn Semester 2018
LecturersB. Hulliger
Periodicitytwo-yearly recurring course
Language of instructionGerman
CommentSpecial Students "University of Zurich (UZH)" in the Master Program in Biostatistics at UZH cannot register for this course unit electronically. Forward the lecturer's written permission to attend to the Registrar's Office. Alternatively, the lecturer may also send an email directly to Link. The Registrar's Office will then register you for the course.


447-6289-00 GStichproben-Erhebungen Special students and auditors need a special permission from the lecturers.
Weitere Informationen unter Link
17.5s hrs
Mon/208:15-10:00HG E 1.1 »
10:15-12:00HG E 19 »
B. Hulliger

Catalogue data

AbstractThe elements of a sample survey are explained. The most important classical sample designs (simple random sampling and stratified random sampling) with their estimation procedures and the use of auxiliary information including the Horvitz-Thompson estimator are introduced. Data preparation, non-response and its treatment, variance estimation and analysis of survey data is discussed.
ObjectiveKnowledge of the Elements and the process of a sample survey. Understanding of the paradigm of random samples. Knowledge of simple random samplinig and stratified random sampling and capability to apply the corresponding methods. Knowledge of further methods of sampling and estimation as well as data preparation and analysis.

Performance assessment

Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
ECTS credits2 credits
ExaminersB. Hulliger
Typeungraded semester performance
Language of examinationGerman
RepetitionRepetition possible without re-enrolling for the course unit.

Learning materials

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No information on groups available.


General : Special students and auditors need a special permission from the lecturers

Offered in

CAS in Applied StatisticsFurther CoursesWInformation
DAS in Applied StatisticsElectivesWInformation
Statistics MasterStatistical and Mathematical CoursesWInformation