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master's thesis
Pearsonov korelacijski koeficijent
Osijek: Josip Juraj Strossmayer University of Osijek, Department of Mathematics, 2018. urn:nbn:hr:126:544508
Tabak, Ana
Josip Juraj Strossmayer University of Osijek
Department of Mathematics
Chair of Pure Mathematics and Mathematics Teaching
Probability, Mathematical Statistics and Data Science Research Group

Institutional repository: Repository of School of Applied Mathematics and Informatics

Cite this document

Tabak, A. (2018). Pearsonov korelacijski koeficijent (Master's thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Department of Mathematics. Retrieved from https://urn.nsk.hr/urn:nbn:hr:126:544508

Tabak, Ana. "Pearsonov korelacijski koeficijent." Master's thesis, Josip Juraj Strossmayer University of Osijek, Department of Mathematics, 2018. https://urn.nsk.hr/urn:nbn:hr:126:544508

Tabak, Ana. "Pearsonov korelacijski koeficijent." Master's thesis, Josip Juraj Strossmayer University of Osijek, Department of Mathematics, 2018. https://urn.nsk.hr/urn:nbn:hr:126:544508

Tabak, A. (2018). 'Pearsonov korelacijski koeficijent', Master's thesis, Josip Juraj Strossmayer University of Osijek, Department of Mathematics, accessed 28 November 2024, https://urn.nsk.hr/urn:nbn:hr:126:544508

Tabak A. Pearsonov korelacijski koeficijent [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Department of Mathematics; 2018 [cited 2024 November 28] Available at: https://urn.nsk.hr/urn:nbn:hr:126:544508

A. Tabak, "Pearsonov korelacijski koeficijent", Master's thesis, Josip Juraj Strossmayer University of Osijek, Department of Mathematics, Osijek, 2018. Available at: https://urn.nsk.hr/urn:nbn:hr:126:544508

Metadata
TitlePearsonov korelacijski koeficijent
Title (english)Pearson's Correlation Coefficient
AuthorAna Tabak
MentorMirta Benšić (mentor)
Committee memberDanijel Grahovac (predsjednik povjerenstva)
Committee memberMirta Benšić (član povjerenstva)
Committee memberDomagoj Matijević (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Department of Mathematics
(Chair of Pure Mathematics and Mathematics Teaching)
(Probability, Mathematical Statistics and Data Science Research Group)
Osijek
Defense date and country2018-02-16, Croatia
Scientific / art field,
discipline and subdiscipline		NATURAL SCIENCES
Mathematics
Probability Theory and Statistics
Abstract
Koeficijent korelacije numerička je karakteristika dvodimenzionalnog vektora koja se koristi kao pokazatelj povezanosti među njegovim komponentama. Na temelju jednostavnog slučajnog uzorka iz tog slučajnog vektora, koeficijent korelacije procjenjuje se izrazom koji je poznat pod nazivom Pearsonov korelacijski koeficijent. U ovom diplomskom radu izvedena je funkcija gustoće Pearsonovog korelacijskog koeficijenta u modelu jednostavnog slučajnog uzorka iz dvodimenzionalnog normalnog slučajnog vektora. Taj rezultat iskorišten je za definiranje statističkog testa o iznosu populacijskog korelacijskog koeficijenta.
Abstract (english)
Correlation coefficient is the numerical characteristic of the two-dimensional random vector used as an indicator of connections among its components. Based on simple random sample from that random vector, the correlation coefficient is estimated using the expression that is known as Pearson’s correlation coefficient. In this graduate thesis the density function of the Pearson Correlation Coefficient in a simple random sample model was derived from a two-dimensional normal random vector. This result was used to define the statistical test of the amount of the population correlation coefficient.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:126:544508
Study programmeTitle: Mathematics; specializations in: Financial and Statistical Mathematics, Mathematics and Computer Science, Industrial and Applied Mathematics
Course: Financial and Statistical Mathematics
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
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Created on2018-03-02 10:55:48