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Visar resultat 1 - 5 av 395 avhandlingar som matchar ovanstående sökkriterier.
1. Stochastic epidemics on random networks
Sammanfattning : 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. LÄS MER
2. Novel Statistical Methods in Quantitative Genetics : Modeling Genetic Variance for Quantitative Trait Loci Mapping and Genomic Evaluation
Sammanfattning : 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. LÄS MER
3. Simulation of diffusional processes in alloys : techniques and applications
Sammanfattning : 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. LÄS MER
4. Numerical analysis for random processes and fields and related design problems
Sammanfattning : 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. LÄS MER
5. Uncertainty Modelling in Hydrological Applications - Error Propagation Properties of Random Linear Systems
Sammanfattning : 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. LÄS MER