60102501
Lecture
SoSe 22: Resampling techniques and their application
Frank Konietschke
Comments
In this course, we introduce resampling techniques for analyzing trials with small sample sizes. Special attention will be given to both estimation methods as well as inference procedures. We hereby will find answers to the questions (1) "How does resampling work?" and "When does resampling work"? Throughout the class we will study one sample, two samples and even factorial designs with independent and dependent observations. All algorithms will be presented and illustrated using R statistical software. Knowledge of fundamentals in statistical testing as well as basic skills in R are recommended and prerequisite.
close14 Class schedule
Regular appointments
Wed, 2022-04-20 14:00 - 16:00
Resampling Techniken und deren Anwendungen
Wed, 2022-04-27 14:00 - 16:00
Resampling Techniken und deren Anwendungen
Wed, 2022-05-04 14:00 - 16:00
Resampling Techniken und deren Anwendungen
Wed, 2022-05-11 14:00 - 16:00
Resampling Techniken und deren Anwendungen
Wed, 2022-05-18 14:00 - 16:00
Resampling Techniken und deren Anwendungen
Wed, 2022-05-25 14:00 - 16:00
Resampling Techniken und deren Anwendungen
Wed, 2022-06-01 14:00 - 16:00
Resampling Techniken und deren Anwendungen
Wed, 2022-06-08 14:00 - 16:00
Resampling Techniken und deren Anwendungen
Wed, 2022-06-15 14:00 - 16:00
Resampling Techniken und deren Anwendungen
Wed, 2022-06-22 14:00 - 16:00
Resampling Techniken und deren Anwendungen
Wed, 2022-06-29 14:00 - 16:00
Resampling Techniken und deren Anwendungen
Wed, 2022-07-06 14:00 - 16:00
Resampling Techniken und deren Anwendungen
Wed, 2022-07-13 14:00 - 16:00
Resampling Techniken und deren Anwendungen
Wed, 2022-07-20 14:00 - 16:00
Resampling Techniken und deren Anwendungen