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master's thesis
Logistička regresija u predikciji odljeva korisnika mobilne igre
2022. urn:nbn:hr:166:591419
Šarlija, Anđela
University of Split
Faculty of Science
Department of Mathematics

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Šarlija, A. (2022). Logistička regresija u predikciji odljeva korisnika mobilne igre (Master's thesis). Split: University of Split, Faculty of Science. Retrieved from https://urn.nsk.hr/urn:nbn:hr:166:591419

Šarlija, Anđela. "Logistička regresija u predikciji odljeva korisnika mobilne igre." Master's thesis, University of Split, Faculty of Science, 2022. https://urn.nsk.hr/urn:nbn:hr:166:591419

Šarlija, Anđela. "Logistička regresija u predikciji odljeva korisnika mobilne igre." Master's thesis, University of Split, Faculty of Science, 2022. https://urn.nsk.hr/urn:nbn:hr:166:591419

Šarlija, A. (2022). 'Logistička regresija u predikciji odljeva korisnika mobilne igre', Master's thesis, University of Split, Faculty of Science, accessed 17 April 2024, https://urn.nsk.hr/urn:nbn:hr:166:591419

Šarlija A. Logistička regresija u predikciji odljeva korisnika mobilne igre [Master's thesis]. Split: University of Split, Faculty of Science; 2022 [cited 2024 April 17] Available at: https://urn.nsk.hr/urn:nbn:hr:166:591419

A. Šarlija, "Logistička regresija u predikciji odljeva korisnika mobilne igre", Master's thesis, University of Split, Faculty of Science, Split, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:166:591419

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Metadata
TitleLogistička regresija u predikciji odljeva korisnika mobilne igre
Title (english)Logistic churn prediction models for mobile games
AuthorAnđela Šarlija
MentorTea Martinić Bilać (mentor)
MentorAna Perišić (pomoć pri izradi, neposredni voditelj)
Committee memberTea Martinić Bilać (predsjednik povjerenstva)
Committee memberAna Perišić (član povjerenstva)
Committee memberAljoša Šubašić (član povjerenstva)
GranterUniversity of Split
Faculty of Science
(Department of Mathematics)
Split
Defense date and country2022-09-26, Croatia
Scientific / art field,
discipline and subdiscipline		NATURAL SCIENCES
Mathematics
Abstract
Logistička regresija je statistička metoda koja se koristi u analizi podataka u kojoj je cilj opisati vezu izmedu dihotomne zavisne varijable i jedne (ili više) nezavisnih varijabli. U ovome radu prikazana je primjena logističke regresije u modeliranju problema odljeva korisnika u industriji mobilnih igara. Nakon prikaza osnovne teorijske podloge, izgrađeni su univarijatni i multivarijatni logistički modeli za problem predikcije odljeva korisnika pri čemu su uspoređeni modeli s obzirom na različite definicije odljeva korisnika. Prikazana je izgradnja multivarijatnih modela temeljem stepwise procedure uz podršku statističkog programa R.
Abstract (english)
Logistic regression is a statistical method used in data analysis where the goal is to describe the relationship between a dichotomous dependent variable and one or more independent variables. This paper presents the application of logistic regression in modeling churn problems in the mobile game industry. This work provides the presentation of the basic theoretical basis and the application based on the real-world data where univariate and multivariate logistic models are built for the problem of predicting user churn. Also, models are compared at different levels of churn definition. The construction of multivariate models based on the stepwise method is presented with the support of the statistical program R.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:166:591419
Study programmeTitle: Mathematics; specializations in: major in pure mathematics, major in computing, major in teaching, major in statistics and computing
Course: major in statistics and computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra matematike (magistar/magistra matematike)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2023-01-31 12:33:02