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master's thesis
Modeli za predviđanje broja korisnika novih širokopojasnih internetskih usluga
2015. urn:nbn:hr:200:431532
Kordić, Kristijan
Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Communications
Chair of Radiocommunications and Telecommunications

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Kordić, K. (2015). Modeli za predviđanje broja korisnika novih širokopojasnih internetskih usluga (Master's thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek. Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:431532

Kordić, Kristijan. "Modeli za predviđanje broja korisnika novih širokopojasnih internetskih usluga." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2015. https://urn.nsk.hr/urn:nbn:hr:200:431532

Kordić, Kristijan. "Modeli za predviđanje broja korisnika novih širokopojasnih internetskih usluga." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2015. https://urn.nsk.hr/urn:nbn:hr:200:431532

Kordić, K. (2015). 'Modeli za predviđanje broja korisnika novih širokopojasnih internetskih usluga', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 19 February 2025, https://urn.nsk.hr/urn:nbn:hr:200:431532

Kordić K. Modeli za predviđanje broja korisnika novih širokopojasnih internetskih usluga [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2015 [cited 2025 February 19] Available at: https://urn.nsk.hr/urn:nbn:hr:200:431532

K. Kordić, "Modeli za predviđanje broja korisnika novih širokopojasnih internetskih usluga", Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2015. Available at: https://urn.nsk.hr/urn:nbn:hr:200:431532

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Metadata
TitleModeli za predviđanje broja korisnika novih širokopojasnih internetskih usluga
Title (english)Model for prediction of new broadband Internet users
AuthorKristijan Kordić
MentorDrago Žagar (mentor)
MentorVišnja Križanović Čik (mentor)
Committee memberDrago Žagar (predsjednik povjerenstva)
Committee memberKrešimir Grgić (član povjerenstva)
Committee memberVišnja Križanović Čik (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
(Department of Communications)
(Chair of Radiocommunications and Telecommunications)
Osijek
Defense date and country2015-10-07, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Process Computing
Abstract
Glavni zadatak ovoga rada bio je utvrđivanje trenutnog stanja na telekomunikacijskom tržištu analizom dostupnih podataka te predvidjeti zanimanje korisnika za nove širokopojasne internet usluge pomoću modela za predviđanje. U radu je ukratko opisano predviđanje u telekomunikacijama te napravljen pregled postojećih kvalitativnih i kvantitativnih metoda. Nadalje, opisani su modeli difuzije i prihvaćanja koji se koriste pri predviđanju prihvaćanja novih telekomunikacijskih usluga. Grafički su prikazane usporedbe tih modela nad prikupljenim podatcima za različita razdoblja, modele, države i početne uvjete. Za modeliranje i predviđanje rasta novih usluga na telekomunikacijskom tržištu, Gompertzov model se u ovom radu pokazao kao najučinkovitiji.
Abstract (english)
The main purpose of this thesis is to ascertain the current state on the telecommunications market and to do so by analyzing the available data. Furthermore the goal was to forecast the consumers' interest in the broadband Internet services with the help of forecasting models. This thesis describes telecommunications forecasting in short and gives an overview of the existing qualitative and quantitative methods. Moreover, there is a description of diffusion and adoption models which are used in forecasting adoption of new telecommunications services. Graphical comparisons of these models are based on the data obtained for different periods, models, countries, and initial conditions. In the course of writing this thesis, the Gompertz model proved to be the most effective for modelling and forecasting the growth of new services on the telecommunications market.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:431532
Study programmeTitle: Graduate University Study Programme in Computer Engineering
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2016-06-20 09:44:00