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master's thesis
Stabilne distribucije
Osijek: Josip Juraj Strossmayer University of Osijek, Department of Mathematics, 2016. urn:nbn:hr:126:145854
Ivanešić, Matea
Josip Juraj Strossmayer University of Osijek
Department of Mathematics
Chair of Pure Mathematics and Mathematics Teaching
Probability, Mathematical Statistics and Data Science Research Group

Institutional repository: Repository of School of Applied Mathematics and Informatics

Cite this document

Ivanešić, M. (2016). Stabilne distribucije (Master's thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Department of Mathematics. Retrieved from https://urn.nsk.hr/urn:nbn:hr:126:145854

Ivanešić, Matea. "Stabilne distribucije." Master's thesis, Josip Juraj Strossmayer University of Osijek, Department of Mathematics, 2016. https://urn.nsk.hr/urn:nbn:hr:126:145854

Ivanešić, Matea. "Stabilne distribucije." Master's thesis, Josip Juraj Strossmayer University of Osijek, Department of Mathematics, 2016. https://urn.nsk.hr/urn:nbn:hr:126:145854

Ivanešić, M. (2016). 'Stabilne distribucije', Master's thesis, Josip Juraj Strossmayer University of Osijek, Department of Mathematics, accessed 18 February 2025, https://urn.nsk.hr/urn:nbn:hr:126:145854

Ivanešić M. Stabilne distribucije [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Department of Mathematics; 2016 [cited 2025 February 18] Available at: https://urn.nsk.hr/urn:nbn:hr:126:145854

M. Ivanešić, "Stabilne distribucije", Master's thesis, Josip Juraj Strossmayer University of Osijek, Department of Mathematics, Osijek, 2016. Available at: https://urn.nsk.hr/urn:nbn:hr:126:145854

Metadata
TitleStabilne distribucije
Title (english)Stable distributions
AuthorMatea Ivanešić
MentorNenad Šuvak (mentor)
GranterJosip Juraj Strossmayer University of Osijek
Department of Mathematics
(Chair of Pure Mathematics and Mathematics Teaching)
(Probability, Mathematical Statistics and Data Science Research Group)
Osijek
Defense date and country2016, Croatia
Scientific / art field,
discipline and subdiscipline		NATURAL SCIENCES
Mathematics
Probability Theory and Statistics
Abstract
Cilj ovog diplomskog rada je upoznavanje sa stabilnim distribucijama i strukturama zavisnosti stabilnih distribucija. U radu smo se bavili stabilnim distribucijama slučajnih varijabli, a zatim slučajnih vektora. Na početku smo se upoznali sa stabilnim distribucijama slučajnih varijabli te denirali kada su te distribucije simetrične stabilne, odnosno strogo stabilne. Naveli smo i dokazali neka svojstva stabilnih distribucija. Dalje smo se bavili stabilnim distribucijama slučajnih vektora te uveli pojmove poput kovarijacije, kovarijacijske norme, Jamesove ortogonalnosti, kodiferentnosti,α- slučajne mjere te prikaza slučajnih varijabli preko integrala. Na kraju smo proučavali strukture zavisnosti stabilnih distribucija. Gledali smo poveznicu stabilnih distribucija i linearne regresije, simetričnih uvjetnih distribucija, linearne ovisnosti, momenta slučajnog vektora i asociranosti slučajnih varijabli.
Abstract (english)
The aim of this diploma thesis is to introduce stable distributions and dependence structures of multivariate stable distributions. In the beginning we introduced stable distributions of random variables and dened symmetric stable and strictly stable distributions. We stated and proved some properties of stable distributions. Moreover, we were dealing with stable distributions of random vectors and we introduced some new terms like covariation, covariation norm, James orthogonality, codierence, α-stable random measure and integral representation of random variables. In the end we were studying dependence structures of multivariate stable distributions. Furthermore, the relation between stable distributions and linear regression, symmetric conditional laws, linear dependence, joint moments and association of random variables were analysed.
Keywords
Languagecroatian
URN:NBNurn:nbn:hr:126:145854
Study programmeTitle: Mathematics; specializations in: Financial and Statistical Mathematics, Mathematics and Computer Science, Industrial and Applied Mathematics
Course: Financial and Statistical Mathematics
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra matematike (magistar/magistra matematike)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2016-04-07 08:25:22