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Visar resultat 1 - 5 av 19 uppsatser som matchar ovanstående sökkriterier.

  1. 1. Analysis and Use of Telemetry Data for Car Insurance Premiums

    Master-uppsats, KTH/Matematisk statistik

    Författare :Max Berg Wahlström; Anton Hagelberg; [2023]
    Nyckelord :Telemetry; Neural Networks; Statistics; Mathematics; Telemetri; Neurala Nätverk; Statistik; Matematik;

    Sammanfattning : 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

  3. 2. Competition between managed honeybees and wild bumblebees - Quantifying dietary overlap in semi-natural grasslands

    Kandidat-uppsats, Lunds universitet/Centrum för miljö- och klimatvetenskap (CEC)

    Författare :Emma Rosberg; [2023]
    Nyckelord :Earth and Environmental Sciences;

    Sammanfattning : The decline of bees, such as bumblebees, over the last decades raises concerns as they are key pollinators in both agricultural and natural ecosystems. One proposed cause for the decline of wild bees is competition for food resources with managed honeybees. LÄS MER

  4. 3. How Unlucky People Continue to be Unlucky: : A Study of the Predictive Capabilities of Insurance Claim Data

    Kandidat-uppsats, KTH/Matematisk statistik

    Författare :Jacob Gustavsson; Alex Lövgren; [2023]
    Nyckelord :Regression Analysis; Generalized Linear Model; Logistic Regression; Insurance; Insurance Pricing; Insurance Risk; Insurance Claim Types; Regressionsanalys; Generaliserad Linjär Modell; Logistisk Regression; Försäkring; Prissättning inom Försäkring; Typer av Ersättningsanspråk;

    Sammanfattning : This bachelor thesis in the field of mathematical statistics was carried out in collaboration with an upcoming insurance start-up, Hedvig, and had the objective of investigating the predictive capabilities of different types of insurance claims. This was done through regression analysis, and more specifically the area in regression analysis called generalized linear models. LÄS MER

  5. 4. Tree Species Impact on Forest Fire Spread Susceptibility in Sweden

    Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Författare :Sara Sharon Jones; [2023]
    Nyckelord :Geography; GIS; Physical Geography; Forest Fire; Forest Fire Susceptibility; Sweden; logistic regression modelling; Earth and Environmental Sciences;

    Sammanfattning : 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. LÄS MER

  7. 5. Using Gradient Boosting to Identify Pricing Errors in GLM-Based Tariffs for Non-life Insurance

    Master-uppsats, KTH/Matematik (Avd.)

    Författare :Felix Greberg; Andreas Rylander; [2022]
    Nyckelord :GLM; Gradient Boosting; XGBoost; Non-life insurance; Property Casualty; Rate making; Insurance Tariff; MTPL insurance; Machine learning; Regression trees; Tweedie regression; Credit risk; GLM; Gradient Boosting; XGBoost; Skadeförsäkring; Prissättning; Försäkringstariff; Trafikförsäkring; Regressionsträd; Maskininlärning; Tweedie-regression; Kreditrisk;

    Sammanfattning : Most non-life insurers and many creditors use regressions, more specifically Generalized Linear Models (GLM), to price their liabilities. One limitation with GLMs is that interactions between predictors are handled manually, which makes finding interactions a tedious and time-consuming task. LÄS MER