Search for dissertations about: "likelihood process"
Showing result 11 - 15 of 158 swedish dissertations containing the words likelihood process.
-
11. Stochastic dynamic modelling and statistical analysis of infectious disease spread and cancer treatment
Abstract : Mathematical models have proven valuable for public health decision makers as they can provide insights into the understanding, control and, ultimately, the prevention of diseases. This thesis contains four manuscripts dealing with stochastic dynamic modelling and statistical analysis of infectious disease spread and optimization of cancer treatment. READ MORE
-
12. Improving Forming of Aerospace Composite Components through Process Modelling
Abstract : In the aerospace industry there is a constant effort to reduce the weight of aircraft. Since weight reduction has a direct impact on fuel consumption. Reducing the fuel consumption leads to botheconomical benefits through less money spent on fuel and environmental benefits through reduced CO2 emissions. READ MORE
-
13. Resonant Microwave Sensors for Industrial Applications
Abstract : This thesis presents developments in the area of microwave-based sensor systems for industrial applications. The work is motivated by a need for advanced measurement techniques in industry in general, and the process industry in particular. READ MORE
-
14. Characterisation and Some Statistical Aspects of Univariate and Multivariate Generalised Pareto Distributions
Abstract : Extreme value theory is about the distributions of very large or very small values in a time series or stochastic process. This has numerous applications connected with environmental science, civil engineering, materials science and insurance. READ MORE
-
15. Partial carbon capture – an opportunity to decarbonize primary steelmaking
Abstract : Climate change requires that all energy-related sectors drastically reduce their greenhouse gas emissions (GHG). To have a high likelihood of limiting global warming to 1.5°C, large-scale mitigation of GHG has to start being implemented and cause emissions to fall well before Year 2030. READ MORE