Blar i NTNU Open på forfatter "Steinsland, Ingelin"
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Prediction Models of Systolic Blood Pressure Based on HUNT Study Data
Nilsen, Fride Nordstrand (Master thesis, 2020)I denne oppgaven blir prediksjonsmodeller for systolisk blodtrykk foreslått, implementert, evaluert og sammenlignet med Framingham modellen, basert på data fra Helseundersøkelsen i Trøndelag, heretter forkortet til ... -
Prediction of Wind Power Production Using Beta Transformed Linear Pool
Malmgård, Andreas (Master thesis, 2017)In the power trading market, transmission system operators and other actors buy and sell power related to future production. Power production from wind- and solar farms is affected by rapid weather changes, and producers ... -
Probabilistic Forecasting of Solar Radiation in Norway Using Spatial Varying Coefficients for NWP Forecasts
Egeli, André (Master thesis, 2023)Denne masteroppgaven introduserer og evaluerer en modell for etterbehandling av solinnstråling-prognoser. Modellen er trent ved å bruke et dataset som omfatter to og et halvt år med NWP data og målte observasjoner fra 15 ... -
Prognostic risk models for incident hypertension: A PRISMA systematic review and meta-analysis
Schjerven, Filip Emil; Lindseth, Frank; Steinsland, Ingelin (Journal article; Peer reviewed, 2024)Objective Our goal was to review the available literature on prognostic risk prediction for incident hypertension, synthesize performance, and provide suggestions for future work on the topic. -
Quantile based modeling of diurnal temperature range with the five-parameter lambda distribution
Vandeskog, Silius Mortensønn; Thorarinsdottir, Thordis Linda; Steinsland, Ingelin; Lindgren, Finn (Peer reviewed; Journal article, 2022)Diurnal temperature range is an important variable in climate science that canprovide information regarding climate variability and climate change. Changesindiurnaltemperaturerangecanhaveimplicationsforhydrology,humanhealthand ... -
Quantitative genetic modeling and inference in the presence of nonignorable missing data
Steinsland, Ingelin; Larsen, Camilla Thorrud; Roulin, Alexandre; Jensen, Henrik (Journal article; Peer reviewed, 2014)Natural selection is typically exerted at some specific life stages. If natural selection takes place before a trait can be measured, using conventional models can cause wrong inference about population parameters. When ... -
Railway condition monitoring applying the continuous and discrete wavelet transforms
Selnes, Sivert (Master thesis, 2020)Den diskrete og den kontinuerlige bølgetransformasjonen er anvendt på geometrimålinger som en metode for å overvåke sporgeometri i den danske jernbanens sporvekslinger. Geometrimålinger samles regelmessig for hele ... -
Repeatability in a multiphase pipe flow case study
Strand, Andreas; Brekken, Christian; Leinan, Paul Roger; Steinsland, Ingelin; Hellevik, Leif Rune (Peer reviewed; Journal article, 2021)A high degree of repeatability is most often an underlying assumption for research and development based on multiphase flow experiments. In this paper repeatability in multiphase flow experiments are studied through an ... -
A shared parameter model accounting for non-ignorable missing data due to dropout - Modelling of blood pressure based on the HUNT Study
Espeland, Lars Fredrik (Master thesis, 2020)Abstract In this thesis, a shared parameter model is suggested to account for missing data not at random (MNAR) due to dropout in follow-up studies. The proposed model is motivated by and evaluated for a large follow-up ... -
Snøfordeling i høydesoner: Statistiske metoder for å estimere og evaluere snøfordelingen i Neafeltets høydesoner gitt av HBV-modellen
Øvrum, Kathrine (Master thesis, 2009)I denne masteroppgaven benyttes representative snødybder for snømagasinet til Nea kraftverk. Fem terrengparametere (høyde over havet, helningsgrad, helningsretning, kurvatur og skog) er tilgjengelige på et rutenett med ... -
Spatial Dependency in Methylation Data - A Bayesian Approach with R-INLA
Nustad, Haakon Egdetveit (Master thesis, 2016)DNA methylation is a chemical process that regulates gene transcription and is known to interact with development and differentiation of the DNA. It affects almost exclusively CpG sites, and with the Illumina HumanMethyl ... -
A Spatial Modeling Framework for Monitoring Surveys with Different Sampling Protocols with a Case Study for Bird Abundance in Mid-Scandinavia
Sicacha, Jorge; Pavòn-Jordàn, Diego; Steinsland, Ingelin; May, Roelof Frans; Stokke, Bård Gunnar; Øien, Ingar Jostein (Peer reviewed; Journal article, 2022)Quantifying the total number of individuals (abundance) of species is the basis for spatial ecology and biodiversity conservation. Abundance data are mostly collected through professional surveys as part of monitoring ... -
Spatial modelling improves genetic evaluation in smallholder breeding programs
Selle, Maria; Steinsland, Ingelin; Powell, Owen; Hickey, John M.; Gorjanc, Gregor (Peer reviewed; Journal article, 2020)Background Breeders and geneticists use statistical models to separate genetic and environmental effects on phenotype. A common way to separate these effects is to model a descriptor of an environment, a contemporary group ... -
Spatial Non-Stationary Bayesian Analysis of Deterioration of Pavement With Uncertainty
Olsen, William Scott Grundeland (Master thesis, 2022)Et godt vedlikeholdt vegdekke er viktig for trafikksikkerheten og målrettet vedlikehold er viktig for å maksimere den samfunnsøkonomiske effekten av ressursene som tildeles. Gjennom prosjektet SMARTere vedlikehold har ... -
Spatial non-stationary models for pavement deterioration and traffic accidents
Vedvik, Emil (Master thesis, 2021)Effektivt vedlikehold av vegdekker utført på egnede lokasjoner er viktig for å opprettholde en høy grad av trafikksikkerhet og maksimere den samfunnsøkonomiske nytten av midler satt av til vedlikeholdsaktiviteter. I samarbeid ... -
Spatial Non-Stationary Models for Precipitation with Elevation in the Dependency Structure - A Case Study of Annual Precipitation in Hordaland
Ødegård, Jorid (Master thesis, 2017)In this work, we construct spatial statistical models for interpolation of precipitation in areas characterised by orographic precipitation. The models are built as latent Gaussian models. We use the stochastic partial ... -
Spatial statistical models using citizen science data and professional surveys for biodiversity insight
Parada, Jorge Sicacha (Doctoral theses at NTNU;2023:85, Doctoral thesis, 2023) -
Statistical Postprocessing of Ensemble Forecasts of Wind
Eide, Siri Sofie (Master thesis, 2016)This thesis considers methods and models for postprocessing ensemble forecasts of wind. Based on Bayesian model averaging (BMA), several different extensions are proposed and tested. Firstly, historical observations of ... -
Streamflow forecast sensitivity to air temperature forecast calibration
Hegdahl, Trine Jahr; Engeland, Kolbjørn; Steinsland, Ingelin; Tallaksen, Lena M. (Journal article; Peer reviewed, 2019)In this study, we used meteorological ensemble forecasts as input to hydrological models to quantify the uncertainty in forecasted streamflow, with a particular focus on the effect of temperature forecast calibration on ... -
Survival Analysis using Integrated Nested Laplace Approximations: A Case Study of House Sparrows from Aldra
Nilssen, Yngvar (Master thesis, 2011)The animal model is a generalized linear mixed model (GLMM) often used in evolutionary biology and animal breeding. Integrated Nested Laplace Approximation (INLA) is a quite new methodology for making fast non-sampling ...