447-6201-00L  Nonparametric and Resampling Methods

SemesterAutumn Semester 2019
LecturersL. Meier, D. Kuonen
Periodicitytwo-yearly recurring course
Language of instructionEnglish
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 registrar@ethz.ch. The Registrar's Office will then register you for the course.



Courses

NumberTitleHoursLecturers
447-6201-00 GNonparametric and Resampling Methods Special students and auditors need a special permission from the lecturers.
Block course on 13.01.; 20.01.; and 27.01.2020
Lectures: 8-10 and 13-15
Exercises: 10-12 and 15-17
21s hrs
13.01.08:15-17:00HG D 1.2 »
20.01.08:15-17:00HG D 1.2 »
27.01.08:15-17:00HG D 1.1 »
L. Meier, D. Kuonen

Catalogue data

AbstractNonparametric tests, randomization tests, jackknife and bootstrap, as well as asymptotic properties of estimators.
ObjectiveFor classical parametric models there exist optimal statistical estimators and test statistics whose distributions can often be determined exactly. The methods covered in this course allow for finding statistical procedures for more general models and to derive exact or approximate distributions of complicated estimators and test statistics.
ContentNonparametric tests, randomization tests, jackknife and bootstrap, as well as asymptotic properties of estimators.
Prerequisites / NoticeThis course is part of the programme for the certificate and diploma in Advanced Studies in Applied Statistics. It is given every second year in the winter semester break.

Performance assessment

Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
ECTS credits2 credits
ExaminersL. Meier, D. Kuonen
Typeungraded semester performance
Language of examinationEnglish
RepetitionRepetition possible without re-enrolling for the course unit.

Learning materials

No public learning materials available.
Only public learning materials are listed.

Groups

No information on groups available.

Restrictions

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

Offered in

ProgrammeSectionType
CAS in Applied StatisticsFurther CoursesZInformation
DAS in Applied StatisticsCompulsory CoursesOInformation
Statistics MasterStatistical and Mathematical CoursesWInformation