Sökning: "Generalized linear models"
Visar resultat 21 - 25 av 83 uppsatser innehållade orden Generalized linear models.
21. Supervised Learning for Prediction of Tumour Mutational Burden
Master-uppsats, KTH/Matematisk statistikSammanfattning : Tumour Mutational Burden is a promising biomarker to predict response to immunotherapy. In this thesis, statistical methods of supervised learning were used to predict TMB: GLM, Decision Trees and SVM. LÄS MER
22. Modeling risk and price of all risk insurances with General Linear Models
Kandidat-uppsats, KTH/Matematisk statistikSammanfattning : Denna kandidatexamen ligger inom området matematisk statistik. I samarbete med försäkringsbolaget Hedvig syftar denna avhandling till att utforska en ny metod för hantering av Hedvigs försäkringsdata genom att bygga en prissättningsmodell för alla riskförsäkringar med generaliserade linjära modeller. LÄS MER
23. Dynamic prediction of repair costs in heavy-duty trucks
Master-uppsats, Linköpings universitet/Statistik och maskininlärningSammanfattning : Pricing of repair and maintenance (R&M) contracts is one among the most important processes carried out at Scania. Predictions of repair costs at Scania are carried out using experience-based prediction methods which do not involve statistical methods for the computation of average repair costs for contracts terminated in the recent past. LÄS MER
24. An Extreme Value Approach to Age Limit Analysis
Master-uppsats, Lunds universitet/Matematisk statistikSammanfattning : A fundamental question in aging research is if the human lifespan has reached its maximum, as it has practical implications and affects the sustainability of our societies and health care systems. This thesis uses methods and techniques from extreme value theory to study human lifespan at extreme age, in particular the age at death of the world’s oldest person (WOP) titleholders. LÄS MER
25. Machine Learning and Telematics for Risk Assessment in Auto Insurance
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Pricing models for car insurance traditionally use variables related to the policyholder and the insured vehicle (e.g. car brand and driver age) to determine the premium. LÄS MER