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undergraduate thesis
Predikcija stanja sustava korištenjem regresijske metode
Rijeka: University of Rijeka, Faculty of Engineering, 2020. urn:nbn:hr:190:919370
Zoričić, Ivan
University of Rijeka
Faculty of Engineering
Department of Mathematics, Physics, and Foreign Languages
Section of Applied Mathematics

Institutional repository: Repository of the University of Rijeka, Faculty of Engineering

Cite this document

Zoričić, I. (2020). Predikcija stanja sustava korištenjem regresijske metode (Undergraduate thesis). Rijeka: University of Rijeka, Faculty of Engineering. Retrieved from https://urn.nsk.hr/urn:nbn:hr:190:919370

Zoričić, Ivan. "Predikcija stanja sustava korištenjem regresijske metode." Undergraduate thesis, University of Rijeka, Faculty of Engineering, 2020. https://urn.nsk.hr/urn:nbn:hr:190:919370

Zoričić, Ivan. "Predikcija stanja sustava korištenjem regresijske metode." Undergraduate thesis, University of Rijeka, Faculty of Engineering, 2020. https://urn.nsk.hr/urn:nbn:hr:190:919370

Zoričić, I. (2020). 'Predikcija stanja sustava korištenjem regresijske metode', Undergraduate thesis, University of Rijeka, Faculty of Engineering, accessed 30 November 2024, https://urn.nsk.hr/urn:nbn:hr:190:919370

Zoričić I. Predikcija stanja sustava korištenjem regresijske metode [Undergraduate thesis]. Rijeka: University of Rijeka, Faculty of Engineering; 2020 [cited 2024 November 30] Available at: https://urn.nsk.hr/urn:nbn:hr:190:919370

I. Zoričić, "Predikcija stanja sustava korištenjem regresijske metode", Undergraduate thesis, University of Rijeka, Faculty of Engineering, Rijeka, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:190:919370

Metadata
TitlePredikcija stanja sustava korištenjem regresijske metode
Title (english)Prediction of system state using regression method
AuthorIvan Zoričić
MentorIvan Dražić (mentor)
MentorViktor Sučić (komentor)
Committee memberViktor Sučić (predsjednik povjerenstva)
Committee memberIvan Dražić (član povjerenstva)
GranterUniversity of Rijeka
Faculty of Engineering
(Department of Mathematics, Physics, and Foreign Languages)
(Section of Applied Mathematics)
Rijeka
Defense date and country2020-09-16, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Abstract
U ovom radu proucili smo univarijatnu linearnu regresiju i multilinearnu regresiju. U prvom dijelu dali smo povijest regresije, bavili smo se univarijatnom linearnom regresijom, proucili model i racunanje koeficijenata, te smo ju pobliže objasnili na nekoliko primjera iz struke. U drugom dijelu bavili smo se multilinearnom regresijom, koja nam zbog veceg broja nezavisnih varijabli, u realnim situacijama daje bolji model po kojem možemo predvidjeti ponašanje sustava. Takoder, bavili smo se njenim modelom, te na primjerima iz života i prakse objasnili kako se koristi.
Abstract (english)
In this study we studied with univariate linear regression and multilinear regression. In first part we gave history of regression, studied multivariate linear regression, learned its model and how to calculate its coefficients, and explained it using examples from praxis. In second part we studied multilinear regression, which gives us better model because of more independent variables from which we can predict how system behaves. We also studied its model and examples from life and praxis, and how to use it.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:190:919370
Study programmeTitle: Undergraduate University Study of Electrical Engineering
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka elektrotehnike (sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka elektrotehnike)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence In copyright icon
Created on2021-10-06 07:23:19