master's thesis
Procjena genetskih parametara binomne varijable koristeći GLIMMIX SAS proceduru

Sara Matanović (2016)
University of Zagreb
Faculty of Agriculture
Department of Animal Nutrition
Metadata
TitleProcjena genetskih parametara binomne varijable koristeći GLIMMIX SAS proceduru
AuthorSara Matanović
Mentor(s)Miroslav Kapš (thesis advisor)
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.
Keywordsbinomial variable linear model probit model logit model heritability
Committee MembersMiroslav Kapš (committee chairperson)
Ino Čurik (committee member)
Vlatka Čubrić Čurik (committee member)
Maja Ferenčaković (committee member)
GranterUniversity of Zagreb
Faculty of Agriculture
Lower level organizational unitsDepartment of Animal Nutrition
PlaceZagreb
StateCroatia
Scientific field, discipline, subdisciplineBIOTECHNICAL SCIENCES
Agronomy
Genetics and Breeding of Plants, Animals and Microorganisms
Study programme typeuniversity
Study levelgraduate
Study programmeAnimal Genetics and Breeding
Academic title abbreviationmag. ing. agr.
Genremaster's thesis
Language Croatian
Defense date2016-09-27
Parallel 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.
Parallel keywords (Croatian)binomna varijabla obični linearni model probit model logit model heritabilitet
Resource typetext
Access conditionOpen access
Terms of usehttp://rightsstatements.org/vocab/InC/1.0/
URN:NBNhttps://urn.nsk.hr/urn:nbn:hr:204:096492
CommitterValentina Bezek