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master's thesis
Procjena genetskih parametara binomne varijable koristeći GLIMMIX SAS proceduru
Zagreb: University of Zagreb, Faculty of Agriculture, 2016. urn:nbn:hr:204:096492
Matanović, Sara
University of Zagreb
Faculty of Agriculture
Animal Science

Institutional repository: Repository Faculty of Agriculture University of Zagreb

Cite this document

Matanović, S. (2016). Procjena genetskih parametara binomne varijable koristeći GLIMMIX SAS proceduru (Master's thesis). Zagreb: University of Zagreb, Faculty of Agriculture. Retrieved from https://urn.nsk.hr/urn:nbn:hr:204:096492

Matanović, Sara. "Procjena genetskih parametara binomne varijable koristeći GLIMMIX SAS proceduru." Master's thesis, University of Zagreb, Faculty of Agriculture, 2016. https://urn.nsk.hr/urn:nbn:hr:204:096492

Matanović, Sara. "Procjena genetskih parametara binomne varijable koristeći GLIMMIX SAS proceduru." Master's thesis, University of Zagreb, Faculty of Agriculture, 2016. https://urn.nsk.hr/urn:nbn:hr:204:096492

Matanović, S. (2016). 'Procjena genetskih parametara binomne varijable koristeći GLIMMIX SAS proceduru', Master's thesis, University of Zagreb, Faculty of Agriculture, accessed 20 December 2024, https://urn.nsk.hr/urn:nbn:hr:204:096492

Matanović S. Procjena genetskih parametara binomne varijable koristeći GLIMMIX SAS proceduru [Master's thesis]. Zagreb: University of Zagreb, Faculty of Agriculture; 2016 [cited 2024 December 20] Available at: https://urn.nsk.hr/urn:nbn:hr:204:096492

S. Matanović, "Procjena genetskih parametara binomne varijable koristeći GLIMMIX SAS proceduru", Master's thesis, University of Zagreb, Faculty of Agriculture, Zagreb, 2016. Available at: https://urn.nsk.hr/urn:nbn:hr:204:096492

Metadata
TitleProcjena genetskih parametara binomne varijable koristeći GLIMMIX SAS proceduru
AuthorSara Matanović
MentorMiroslav Kapš (mentor)
Committee memberMiroslav Kapš (predsjednik povjerenstva)
Committee memberIno Čurik (član povjerenstva)
Committee memberVlatka Čubrić Čurik (član povjerenstva)
Committee memberMaja Ferenčaković (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Agriculture
(Animal Science)
Zagreb
Defense date and country2016-09-27, Croatia
Scientific / art field,
discipline and subdiscipline		BIOTECHNICAL SCIENCES
Agronomy
Genetics and Breeding of Plants, Animals and Microorganisms
Abstract
Procijenjene su izvedbe različitih modela za analizu genetskih parametara binomne varijable. Glavni cilj je bio metodološki prikazati neku binomnu varijablu, usporediti probit i logit modele međusobno te s običnim linearnim modelom. Podatci su simulirani koristeći SAS 9.3 program. Simulirana su dva seta podataka, oba s 1000 bikova te 100 kćeri po svakome biku, a razlikovala su se u proporciji binarne varijable koja je iznosila 0,2 za jedan set podatka te 0,5 za drugi set. Podatci su zatim obrađeni procedurama mixed za obični linearni model (model očeva) i glimmix za uopćeni linearni mješoviti model. Na temelju dobivenih vrijednosti izračunati su heritabiliteti te su uspoređene vrijednosti varijance očeva i varijance ostatka za svaki od navedenih modela. Uočene su razlike između običnog linearnog te probit i logit modela. Također su uočene razlike između probit i logit modela, ali nisu bile značajno velike.
Abstract (english)
The performances of different models for genetic analysis of binomial variable have been evaluated. The main goal was to methodologically show some binomial variable, compare the probit and logit models mutually and with a linear model. The data were simulated using SAS 9.3 software. Two sets of data were simulated, both having 1000 bulls with a 100 daughters for each bull. The data sets differed in the proportion of the binary variable that was 0,2 for one data set and 0,5 for the other. The data were processed using proc mixed for linear model (sire model) and proc glimmix for generalized linear mixed model. Based on the obtained values heritability was calculated for each model. Also, the values of sire and error variances were compared. Differences between linear model and probit and logit models were noticed. Differences between probit and logit model were also noticed but were not significantly large.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:204:096492
Study programmeTitle: Animal Genetics and Breeding
Study programme type: university
Study level: graduate
Academic / professional title: magistar/ magistra inženjer/inženjerka genetike i oplemenjivanja životinja (magistar/ magistra inženjer/inženjerka genetike i oplemenjivanja životinja)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2016-11-29 12:40:16