Essays about: "statistical modelling"
Showing result 16 - 20 of 181 essays containing the words statistical modelling.
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16. Tree Species Impact on Forest Fire Spread Susceptibility in Sweden
University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapAbstract : Klimatförändringar förväntas leda till längre brandperioder och ökad brandrisk. I Sverige, där homogen produktionsskog utgör största delen av landskapet, finns ett behov av bättre förståelse för skogens mottaglighet för bränder för att kunna mildra risker. READ MORE
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17. Statistical Analysis and Modelling of Engine Oil Degradation
University essay from Umeå universitet/Institutionen för fysikAbstract : An engine oil has several important properties it must fulfil in order to provide efficient engine operation. In addition to damping friction by lubrication, an engine oil must be able to cool, protect against corrosion, dampen vibrations and clean surfaces from contamination, wear and residual products. READ MORE
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18. Spatial analysis of arsenic and fluoride mobilization in groundwater around Mount Meru, northern Tanzania
University essay from KTH/Hållbar utveckling, miljövetenskap och teknikAbstract : In Tanzania, approximately 76% of the drinking water supplies is dependent on groundwater sources. However, the groundwater in north Tanzania is susceptible to contamination by arsenic and fluoride. This study examines the spatial analysis of arsenic and fluoride mobilization in groundwater around Mount Meru, located in northern Tanzania. READ MORE
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19. Data analytics for unemployment incurance claims : framework, approaches, and implementations strategies
University essay from Mälardalens universitet/Akademin för innovation, design och teknikAbstract : Unemployment Insurance serves as a vital economic stabiliser, offering financial assistance and promoting workforce reintegration. In Sweden, occupation-specific unemployment funds, known as "Arbetslöshetskassan" (A-KASSAN), manage these claims. READ MORE
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20. On the Modelling of Stochastic Gradient Descent with Stochastic Differential Equations
University essay from Uppsala universitet/Analys och partiella differentialekvationerAbstract : Stochastic gradient descent (SGD) is arguably the most important algorithm used in optimization problems for large-scale machine learning. Its behaviour has been studied extensively from the viewpoint of mathematical analysis and probability theory; it is widely held that in the limit where the learning rate in the algorithm tends to zero, a specific stochastic differential equation becomes an adequate model of the dynamics of the algorithm. READ MORE