Original title: Dekonvoluce
Translated title: Deconvolution
Authors: Dibák, Miroslav ; Hurt, Jan (referee) ; Hlávka, Zdeněk (advisor)
Document type: Master’s theses
Year: 2009
Language: slo
Abstract: 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.

Institution: Charles University Faculties (theses) (web)
Document availability information: Available in the Charles University Digital Repository.
Original record: http://hdl.handle.net/20.500.11956/27418

Permalink: http://www.nusl.cz/ntk/nusl-282612


The record appears in these collections:
Universities and colleges > Public universities > Charles University > Charles University Faculties (theses)
Academic theses (ETDs) > Master’s theses
 Record created 2017-04-25, last modified 2022-03-04


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