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undergraduate thesis
Statistička analiza u Pythonu
Rijeka: University of Rijeka, Faculty of Engineering, 2021. urn:nbn:hr:190:946143
Turčinović, Fran
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

Turčinović, F. (2021). Statistička analiza u Pythonu (Undergraduate thesis). Rijeka: University of Rijeka, Faculty of Engineering. Retrieved from https://urn.nsk.hr/urn:nbn:hr:190:946143

Turčinović, Fran. "Statistička analiza u Pythonu." Undergraduate thesis, University of Rijeka, Faculty of Engineering, 2021. https://urn.nsk.hr/urn:nbn:hr:190:946143

Turčinović, Fran. "Statistička analiza u Pythonu." Undergraduate thesis, University of Rijeka, Faculty of Engineering, 2021. https://urn.nsk.hr/urn:nbn:hr:190:946143

Turčinović, F. (2021). 'Statistička analiza u Pythonu', Undergraduate thesis, University of Rijeka, Faculty of Engineering, accessed 11 January 2025, https://urn.nsk.hr/urn:nbn:hr:190:946143

Turčinović F. Statistička analiza u Pythonu [Undergraduate thesis]. Rijeka: University of Rijeka, Faculty of Engineering; 2021 [cited 2025 January 11] Available at: https://urn.nsk.hr/urn:nbn:hr:190:946143

F. Turčinović, "Statistička analiza u Pythonu", Undergraduate thesis, University of Rijeka, Faculty of Engineering, Rijeka, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:190:946143

Metadata
TitleStatistička analiza u Pythonu
Title (english)Statistical analysis in Python
AuthorFran Turčinović
MentorLoredana Simčić (mentor)
MentorNelida Črnjarić-Žic (komentor)
Committee memberKristian Lenić (predsjednik povjerenstva)
Committee memberLoredana Simčić (član povjerenstva)
Committee memberNelida Črnjarić-Žic (član povjerenstva)
GranterUniversity of Rijeka
Faculty of Engineering
(Department of Mathematics, Physics, and Foreign Languages)
(Section of Applied Mathematics)
Rijeka
Defense date and country2021-09-14, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Mechanical Engineering
Abstract
Ovaj rad daje uvid u statističku analizu na stvarnom primjeru analize kriptovaluta. Obrađena je deskriptivna statistička analiza kako bi se prikazale mjere centralne tendencije, rasapa podataka i grafički prikazali podaci. Nakon toga obrađena je regresijska analiza te su utvrđeni koeficijenti korelacije među kriptovalutama. Analizu podataka nastavlja se sa dobivanjem verižnih indeksa iz skupa cijena, i analizom istih. Postavlja se hipoteza o distribucijama kojima je moguće opisati gustoću frekvencija verižnih indeksa te pomoću tih distribucija predviđa buduće kretanje. Naknadno se hipoteza testira te pronalazi distribucija koja daje najmanje odstupanje od stvarnih podataka.
Abstract (english)
This paper provides an insight into statistical analysis on a real example of cryptocurrency analysis. Descriptive statistical analysis is done first to show central tendency, volatility and to visualize data. After that regressional analysis was done and correlation coefficients between cryptocurrencies were determined. Data analysis is continued with calculating chain indices from the price data, and analyzing them. Hypothesis is made about distributions which describe frequency density of chain indices and based on those distributions future changes are predicted. Subsequently hypothesis is tested and distribution is found which has the smallest deviation from the data.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:190:946143
Study programmeTitle: Mechanical Engineering
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka strojarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka strojarstva)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence In copyright icon
Created on2021-10-20 10:51:10