Dekonvoluce
Deconvolution
Dekonvoluce
diploma thesis (DEFENDED)

View/ Open
Permanent link
http://hdl.handle.net/20.500.11956/27418Identifiers
Study Information System: 47618
CU Caralogue: 990011714710106986
Collections
- Kvalifikační práce [11335]
Author
Advisor
Referee
Hurt, Jan
Faculty / Institute
Faculty of Mathematics and Physics
Discipline
Financial and insurance mathematics
Department
Department of Probability and Mathematical Statistics
Date of defense
22. 9. 2009
Publisher
Univerzita Karlova, Matematicko-fyzikální fakultaLanguage
Slovak
Grade
Very good
The convolution has a big signification in mathematical statistics. In the opening chapter, we define basic terms used in the thesis and we introduce the convolution and basic relations related to this term. In the second chapter, we attend to kernel estimators, mainly the kernel density estimator and the kernel charakteristic function estimator. In the third chapter, we attend to the deconvolution and we summarize the basic theoretical properties of the deconvolution estimator. In the last chapter of this thesis we present a possible application in medicine. The properties of the proposed estimator are investigated in a small simulation study.