Search for dissertations about: "random effect"

Showing result 1 - 5 of 389 swedish dissertations containing the words random effect.

  2. 1. Stochastic epidemics on random networks

    Author : Abid Ali Lashari; Pieter Trapman; Filip Lindskog; Peter Neal; Stockholms universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Branching process; Configuration model; Random graph; Epidemic process; Final size; Threshold behaviour; Duration of an epidemic; Vaccination; Mathematical Statistics; matematisk statistik;

    Abstract : This thesis considers stochastic epidemic models for the spread of epidemics in structured populations. The asymptotic behaviour of the models is analysed by using branching process approximations. The thesis contains four manuscripts. READ MORE

  4. 2. 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

  5. 3. Simulation of diffusional processes in alloys : techniques and applications

    Author : Henrik Strandlund; John Ågren; John Morral; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Diffusion; Kirkendall effect; Phase transformations; Random walk; Solute drag; Interfacial mobility; Other materials science; Övrig teknisk materialvetenskap;

    Abstract : This thesis concerns computer simulation of diffusional processes in alloys. The main focus is on the development of simulation techniques for diffusion in single-phase domains, but also diffusion controlled phase-transformations and interfacial processes are discussed. READ MORE

  6. 4. Numerical analysis for random processes and fields and related design problems

    Author : Konrad Abramowicz; Oleg Seleznjev; Krzysztof Podgórski; Umeå universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; stochastic processes; random fields; approximation; numerical integration; Hermite splines; piecewise linear interpolator; local stationarity; point singularity; stratified Monte Carlo quadrature; Asian option; Monte Carlo pricing method; Lévy market models; Mathematical statistics; Matematisk statistik; Mathematical Statistics; matematisk statistik;

    Abstract : In this thesis, we study numerical analysis for random processes and fields. We investigate the behavior of the approximation accuracy for specific linear methods based on a finite number of observations. Furthermore, we propose techniques for optimizing performance of the methods for particular classes of random functions. READ MORE

  7. 5. Uncertainty Modelling in Hydrological Applications - Error Propagation Properties of Random Linear Systems

    Author : Jan Agerholm Høybye; Avdelningen för Teknisk vattenresurslära; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; geographical and geological engineering; Hydrogeology; floods; water quality; prediction uncertainty; differential equations; Stochastic hydrology; random functions; Hydrogeologi; teknisk geologi; teknisk geografi; Geophysics; physical oceanography; meteorology; Geofysik; fysisk oceanografi; meteorologi;

    Abstract : In hydrological models for water resources management and planning, the model output or design quantities are functions of the input data and a number of parameters that are essentially stochastic processes or random variables. The task of uncertainty analysis is to estimate the uncertainty characteristics of the model output in terms of the uncertainties in the input, model parameters and initial conditions. READ MORE