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undergraduate thesis
Prediktivni modeli bazirani na metodi logističke regresije
Rijeka: University of Rijeka, Faculty of Engineering, 2023. urn:nbn:hr:190:003415
Štimac, Karlo
University of Rijeka
Faculty of Engineering
Department of Mathematics, Physics, and Foreign Languages

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

Cite this document

Štimac, K. (2023). Prediktivni modeli bazirani na metodi logističke regresije (Undergraduate thesis). Rijeka: University of Rijeka, Faculty of Engineering. Retrieved from https://urn.nsk.hr/urn:nbn:hr:190:003415

Štimac, Karlo. "Prediktivni modeli bazirani na metodi logističke regresije." Undergraduate thesis, University of Rijeka, Faculty of Engineering, 2023. https://urn.nsk.hr/urn:nbn:hr:190:003415

Štimac, Karlo. "Prediktivni modeli bazirani na metodi logističke regresije." Undergraduate thesis, University of Rijeka, Faculty of Engineering, 2023. https://urn.nsk.hr/urn:nbn:hr:190:003415

Štimac, K. (2023). 'Prediktivni modeli bazirani na metodi logističke regresije', Undergraduate thesis, University of Rijeka, Faculty of Engineering, accessed 30 November 2024, https://urn.nsk.hr/urn:nbn:hr:190:003415

Štimac K. Prediktivni modeli bazirani na metodi logističke regresije [Undergraduate thesis]. Rijeka: University of Rijeka, Faculty of Engineering; 2023 [cited 2024 November 30] Available at: https://urn.nsk.hr/urn:nbn:hr:190:003415

K. Štimac, "Prediktivni modeli bazirani na metodi logističke regresije", Undergraduate thesis, University of Rijeka, Faculty of Engineering, Rijeka, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:190:003415

Metadata
TitlePrediktivni modeli bazirani na metodi logističke regresije
Title (english)Predictive models based on logistic regression
AuthorKarlo Štimac
MentorIvan Dražić (mentor)
Committee memberDubravko Franković (predsjednik povjerenstva)
Committee memberIvan Dražić (član povjerenstva)
GranterUniversity of Rijeka
Faculty of Engineering
(Department of Mathematics, Physics, and Foreign Languages)
Rijeka
Defense date and country2023-09-13, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Power Engineering
Abstract
Ovaj se rad bavi regresijskim modelima s naglaskom na model logističke regresije, kako u univarijatnom, tako i u multivarijatnom smislu. Regresijski modeli primjenjivani su na primjere iz inženjerske struke, obrazovanja i elektrotehnike. Definirani su parametri kvalitete regresije koji su analizirani na svim promatranim primjerima. Kod provođenja analiza korišten je softverski paket JASP. U kontekstu logističke regresije, dodatno je objašnjen omjer izgleda, logistička funkcija i logaritam izgleda.
Abstract (english)
This paper deals with regression models with emphasis on the logistic regression model, both in the univariate and multivariate sense. The regression models were applied to examples from engineering, education, and electrical engineering. Regression quality parameters were defined and analyzed for all observed examples. The software package JASP was used for the analysis. In the context of logistic regression, the odds ratio, the logistic function and the logarithm of the odds are explained in more detail.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:190:003415
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 conditionsOpen access
Terms of useLicence Attribution 4.0 International (CC BY 4.0) icon
Created on2023-09-13 21:56:22