[ 551STMENPVK14 ] KV Nonparametric statistical methods

Es ist eine neuere Version 2019W dieser LV im Curriculum Bachelor's programme Statistics and Data Science 2019W vorhanden.
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Workload Education level Study areas Responsible person Hours per week Coordinating university
4 ECTS B3 - Bachelor's programme 3. year Statistics Helga Wagner 2 hpw Johannes Kepler University Linz
Detailed information
Pre-requisites (*)keine
Original study plan Bachelor's programme Statistics 2015W
Objectives students know and can apply nonparametric methods
Subject basic concepts (order statistics, rank statistics)

one sample problems (goodness of fit, location, Wald-Wolfowitz-Test)

two sample problems (distribution, location, scale)

multiple sample problems

independence and correlation

kernel density estimation, nonparametric regression

Criteria for evaluation homework and written exam
Methods Presentation by the instructor


Language German
Study material Wasserman Larry , All of Nonparametric Statistics, 2006

Duller Christine, Einf├╝hrung in die nichtparametrische Statistik mit SAS und R, 2008.

Changing subject? No
On-site course
Maximum number of participants 40
Assignment procedure Assignment according to priority