Search for dissertations about: "double hierarchical generalized linear models"

Found 2 swedish dissertations containing the words double hierarchical generalized linear models.

  2. 1. Novel Statistical Methods in Quantitative Genetics : Modeling Genetic Variance for Quantitative Trait Loci Mapping and Genomic Evaluation

    Author : Xia Shen; Örjan Carlborg; Lars Rönnegård; William Hill; Uppsala universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; statistical genetics; quantitative trait loci; genome-wide association study; genomic selection; genetic variance; hierarchical generalized linear model; linear mixed model; random effect; heteroscedastic effects model; variance-controlling genes; Complex Systems – Microdata Analysis;

    Abstract : This thesis develops and evaluates statistical methods for different types of genetic analyses, including quantitative trait loci (QTL) analysis, genome-wide association study (GWAS), and genomic evaluation. The main contribution of the thesis is to provide novel insights in modeling genetic variance, especially via random effects models. READ MORE

  4. 2. Genetic Heteroscedasticity for Domestic Animal Traits

    Author : Majbritt Felleki; Erling Strandberg; Lars Rönnegård; Ole Fredslund Christensen; Högskolan Dalarna; Sveriges lantbruksuniversitet; []
    Keywords : LANTBRUKSVETENSKAPER; AGRICULTURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; LANTBRUKSVETENSKAPER; AGRICULTURAL SCIENCES; Quantitative genetics; genetic heteroscedasticity of residuals; genetic heterogeneity of environmental variation; genetic heterogeneity of residual variance; double hierarchical generalized linear models; teat count in pigs; litter size in pigs; milk yield in cows; somatic cell count in cows; Complex Systems – Microdata Analysis; Komplexa system - mikrodataanalys;

    Abstract : Animal traits differ not only in mean, but also in variation around the mean. For instance, one sire’s daughter group may be very homogeneous, while another sire’s daughters are much more heterogeneous in performance. The difference in residual variance can partially be explained by genetic differences. READ MORE