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master's thesis
Dekompozicija vremenskih nizova
2024. urn:nbn:hr:126:411796
Biškup, Ida
Josip Juraj Strossmayer University of Osijek
School of Applied Mathematics and Informatics

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Biškup, I. (2024). Dekompozicija vremenskih nizova (Master's thesis). Osijek: Josip Juraj Strossmayer University of Osijek, School of Applied Mathematics and Informatics. Retrieved from https://urn.nsk.hr/urn:nbn:hr:126:411796

Biškup, Ida. "Dekompozicija vremenskih nizova." Master's thesis, Josip Juraj Strossmayer University of Osijek, School of Applied Mathematics and Informatics, 2024. https://urn.nsk.hr/urn:nbn:hr:126:411796

Biškup, Ida. "Dekompozicija vremenskih nizova." Master's thesis, Josip Juraj Strossmayer University of Osijek, School of Applied Mathematics and Informatics, 2024. https://urn.nsk.hr/urn:nbn:hr:126:411796

Biškup, I. (2024). 'Dekompozicija vremenskih nizova', Master's thesis, Josip Juraj Strossmayer University of Osijek, School of Applied Mathematics and Informatics, accessed 02 May 2024, https://urn.nsk.hr/urn:nbn:hr:126:411796

Biškup I. Dekompozicija vremenskih nizova [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, School of Applied Mathematics and Informatics; 2024 [cited 2024 May 02] Available at: https://urn.nsk.hr/urn:nbn:hr:126:411796

I. Biškup, "Dekompozicija vremenskih nizova", Master's thesis, Josip Juraj Strossmayer University of Osijek, School of Applied Mathematics and Informatics, Osijek, 2024. Available at: https://urn.nsk.hr/urn:nbn:hr:126:411796

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Metadata
TitleDekompozicija vremenskih nizova
Title (english)Time Series Decomposition
AuthorIda Biškup
MentorDanijel Grahovac (mentor)
Committee memberMirta Benšić (predsjednik povjerenstva)
Committee memberDanijel Grahovac (član povjerenstva)
Committee memberNenad Šuvak (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
School of Applied Mathematics and Informatics
Osijek
Defense date and country2024-04-24, Croatia
Scientific / art field,
discipline and subdiscipline		NATURAL SCIENCES
Mathematics
Probability Theory and Statistics
Abstract
U ovom diplomskom radu bavimo se dekompozicijom vremenskih nizova kao i metodama koje se koriste u praksi. Započinjemo s pregledom važnih definicija i rezultata potrebnih za uvođenje novih pojmova. Nakon toga se okrećemo raznim metodama transformacije i prilagodbe vremenskih nizova koje ilustriramo na primjerima te naglašavamo njihovu korisnost za daljnju analizu. Zatim prelazimo na same metode dekompozicije gdje, osim povijesnog razvoja, detaljno opisujemo i analiziramo svaku od najpoznatijih metoda na primjerima. Na samome kraju pažnju dajemo primjenama metoda dekompozicije.
Abstract (english)
In this paper, we consider decomposition of time series as well as methods used in practice. We begin by reviewing important definitions and results which are necessary for the introduction of new terms. After that we turn to various methods of transformation and time series adjustments that we will illustrate in examples. We emphasize their usefulness for further analysis. Then we move on to decomposition methods themselves where, in addition to the historical development, we give detailed description and analysis for some of most used decomposition methods. At the very end, we take a look at some applications of methods described earlier.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:126:411796
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 on2024-04-26 09:19:11