Sökning: "insurance mathematics"
Visar resultat 1 - 5 av 33 uppsatser innehållade orden insurance mathematics.
1. The deductibles impact on the risk premium
Master-uppsats, Umeå universitet/Institutionen för matematik och matematisk statistikSammanfattning : The aim of this master thesis is to derive methods that assesses the impact the deductiblehas on the risk premium of an insurance contract. The additive structure of a deductiblenecessitates approaches beyond treating it as a regular covariate in a generalized linearmodel for predicting the risk premium. LÄS MER
2. A Predictive Analysis of Customer Churn
Kandidat-uppsats, KTH/Matematisk statistikSammanfattning : Churn refers to the discontinuation of a contract; consequently, customer churn occurs when existing customers stop being customers. Predicting customer churn is a challenging task in customer retention, but with the advancements made in the field of artificial intelligence and machine learning, the feasibility to predict customer churn has increased. LÄS MER
3. Analysis and Use of Telemetry Data for Car Insurance Premiums
Master-uppsats, KTH/Matematisk statistikSammanfattning : Paydrive is a pioneer in the Swedish auto insurance market. Being able to influence your insurancepremium through your driving is a concept that is still in its early stages. LÄS MER
4. Generalized Bühlmann-Straub credibility theory for correlated data
Master-uppsats, Stockholms universitet/Matematiska institutionenSammanfattning : In this thesis, we first go through classical results from the field of credibility theory. One of the most well-known models in the field is the Büuhlmann-Straub model. The model is relatively straightforward to apply in practice and is widely used. A major advantage of the model is its simplicity and intuitive dependency on its model parameters. LÄS MER
5. Estimating the risk of insurance fraud based on tonal analysis
Master-uppsats, Lunds universitet/Matematisk statistikSammanfattning : Insurance companies utilize various methods for identifying claims that are of potential fraudulent nature. With the ever progressing field of artificial intelligence and machine learning models, great interest can be found within the industry to evaluate the use of new methods that may arise as a result of new advanced models in combination with the rich data that is being gathered. LÄS MER