Blar i Brage NMBU på forfatter "Gangsei, Lars Erik"
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A Bayesian method for estimating moose (Alces alces) population size based on hunter observations and killed at age data
Gangsei, Lars Erik (Master thesis, 2013-09-09)Lots of wild species, fish and mammals, are heavy harvested through fishing and hunting. Reliable population size estimates are valuable management tools for these species. In cases where killed at age data are available, ... -
Building an in vivo anatomical atlas to close the phenomic gap in animal breeding
Gangsei, Lars Erik; Kongsro, Jørgen; Olstad, Kristin; Grindflek, Eli; Sæbø, Solve (Journal article; Peer reviewed, 2016) -
Effects of dietary beef, pork, chicken and salmon on intestinal carcinogenesis in A/J Min/+ mice
Steppeler, Christina; Sødring, Marianne Sundt; Egelandsdal, Bjørg Tordis; Kirkhus, Bente; Oostindjer, Marije; Alvseike, Ole; Gangsei, Lars Erik; Hovland, Ellen Margrethe; Pierre, Fabrice; Paulsen, Jan Erik (Journal article; Peer reviewed, 2017) -
Linear multiresponse models : theoretical developments and applications in porcine
Gangsei, Lars Erik (PhD Thesis;2016:34, Doctoral thesis, 2018-05-03)The main topic of this PhD–thesis is how to minimize the prediction error for multi–response linear regression models. Two different applications are analysed, (i) bivariate response with missing data and (ii) image analysis ... -
Prediction precision for lean meat percentage in Norwegian pig carcasses using ‘Hennessy grading probe 7’: Evaluation of methods emphasized at exploiting additional information from computed tomography
Gangsei, Lars Erik; Kongsro, Jørgen; Olsen, Eli Vibeke; Røe, Morten; Alvseike, Ole; Sæbø, Solve (Journal article; Peer reviewed, 2016) -
A QTL for number of teats shows breed specific effects on number of vertebrae in pigs: Bridging the gap between molecular and quantitative genetics
van Son, Maren; Lopes, Marcos S; Martell, Henry J; Derks, Martijn F.L.; Gangsei, Lars Erik; Kongsro, Jørgen; Wass, Mark N.; Grindflek, Eli; Harlizius, Barbara (Peer reviewed; Journal article, 2019)Modern breeding schemes for livestock species accumulate a large amount of genotype and phenotype data which can be used for genome-wide association studies (GWAS). Many chromosomal regions harboring effects on quantitative ... -
Theoretical evaluation of prediction error in linear regression with a bivariate response variable containing missing data
Gangsei, Lars Erik; Almøy, Trygve; Sæbø, Solve (Peer reviewed; Journal article, 2017)Methods for linear regression with multivariate response variables are well described in statistical literature. In this study we conduct a theoretical evaluation of the expected squared prediction error in bivariate linear ...