Detekce odlehlých a vlivných pozorování v lineární regresi v rámci metody nejmenších čtverců. Kvalitativní porovnání s postupy založenými na robustní regresi. / The methods for detection of the outliers and influential points based on method of least squares in linear regression analysis. The qualitative comparison with the detection methods based on robust regression.

Description

This Thesis deals with the methods for detection of the outliers and influential points based on method of least squares. The first part of the thesis summarizes the teoretical findings of the method of least squares and both methods for detection of the outliers and influential points based on the method of least squares and also based on robust regression. The practical part of this thesis deals with the application of classic methods for detection of the outliers and influential points on three types of datasets (artifical data, data from specialized literature and real data). The results of the application are subject to qualitative comparisson with the results produced by the methods for detection of the outliers and influentials point based on the robust regression.

Links & Downloads

1. http://www.nusl.cz/ntk/nusl-165078

Tags

Additional Fields

Identifer	oai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:165078
Date	January 2013
Creators	Potůčková, Lenka
Contributors	Bašta, Milan, Blatná, Dagmar
Publisher	Vysoká škola ekonomická v Praze
Source Sets	Czech ETDs
Language	Czech
Detected Language	English
Type	info:eu-repo/semantics/masterThesis
Rights	info:eu-repo/semantics/restrictedAccess