[ 551STMENPVK14 ] KV Nonparametric statistical methods

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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 Christine Duller 2 hpw Johannes Kepler University Linz
Detailed information
Pre-requisites (*)keine
Original study plan Bachelor's programme Statistics and Data Science 2020W
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

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


Language German
Study material Myles Hollander, Douglas A. Wolfe, Eric Chicken, Nonparametric Statistical Methods, 2014

David J. Sheskin, Handbook of Parametric and Nonparametric Statistical Procedures, 2011

Duller Christine Einf├╝hrung in die nichtparametrische Statistik mit SAS, R und SPSS, 2018

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