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undergraduate thesis
Prognoziranje sezonskih podataka
Varaždin: University of Zagreb, Faculty of Organization and Informatics, 2018. urn:nbn:hr:211:581623
Kovačić, Milan
University of Zagreb
Faculty of Organization and Informatics
Department of Quantitative Methods

Cite this document

Kovačić, M. (2018). Prognoziranje sezonskih podataka (Undergraduate thesis). Varaždin: University of Zagreb, Faculty of Organization and Informatics. Retrieved from https://urn.nsk.hr/urn:nbn:hr:211:581623

Kovačić, Milan. "Prognoziranje sezonskih podataka." Undergraduate thesis, University of Zagreb, Faculty of Organization and Informatics, 2018. https://urn.nsk.hr/urn:nbn:hr:211:581623

Kovačić, Milan. "Prognoziranje sezonskih podataka." Undergraduate thesis, University of Zagreb, Faculty of Organization and Informatics, 2018. https://urn.nsk.hr/urn:nbn:hr:211:581623

Kovačić, M. (2018). 'Prognoziranje sezonskih podataka', Undergraduate thesis, University of Zagreb, Faculty of Organization and Informatics, accessed 23 April 2024, https://urn.nsk.hr/urn:nbn:hr:211:581623

Kovačić M. Prognoziranje sezonskih podataka [Undergraduate thesis]. Varaždin: University of Zagreb, Faculty of Organization and Informatics; 2018 [cited 2024 April 23] Available at: https://urn.nsk.hr/urn:nbn:hr:211:581623

M. Kovačić, "Prognoziranje sezonskih podataka", Undergraduate thesis, University of Zagreb, Faculty of Organization and Informatics, Varaždin, 2018. Available at: https://urn.nsk.hr/urn:nbn:hr:211:581623

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Metadata
TitlePrognoziranje sezonskih podataka
Title (english)Forecasting of seasonal data
AuthorMilan Kovačić
MentorDušan Munđar (mentor)
MBZ: 300231
Committee memberTihomir Hunjak
MBZ: 16834
GranterUniversity of Zagreb
Faculty of Organization and Informatics
(Department of Quantitative Methods)
Varaždin
Defense date and country2018-09-26, Croatia
Scientific / art field,
discipline and subdiscipline		SOCIAL SCIENCES
Information and Communication Sciences
Organization and Informatics
Abstract
U ovom radu opisane su metode prognoziranja sezonskih podataka te dekompozicija vremenskih nizova. Metode su prikazane na podacima o zaposlenosti u Republici Hrvatskoj po kvartalima — od prvog kvartala 2010. godine, do prvog kvartala 2018. godine. Odabrana su 4 modela — naivni, sezonski naivni, ARIMA i model eksponencijalnog izglađivanja te su istima izvršene prognoze broja zaposlenih u Republici Hrvatskoj za 2018. godinu.
Keywords
Languagecroatian
URN:NBNurn:nbn:hr:211:581623
Study programmeTitle: Business Systems
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) informatike (sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) informatike)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence Attribution-NonCommercial-NoDerivs 3.0 Unported (CC BY-NC-ND 3.0) icon
RepositoryFaculty of Organization and Informatics - Digital Repository
Created on2019-03-04 11:24:35

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