Sökning: "Claim Severity"

Visar resultat 1 - 5 av 12 uppsatser innehållade orden Claim Severity.

  1. 1. MACHINE INSURANCE PREMIUM CALCULATIONS BASED ON CLAIM MODELS

    Master-uppsats, Uppsala universitet/Statistiska institutionen

    Författare :Hugo Sebyhed; [2023]
    Nyckelord :;

    Sammanfattning : The market for insurance continues to grow and expand. As insurance plays a part in our very own lives, it is important to understand how the premiums are calculated. In this thesis, this is done for machines, namely, cars and spindles. The premiums are calculated by combining claim frequency and claim severity. LÄS MER

  3. 2. Environmentally aware vulnerability prioritisation within large networks : A proposed novel method

    Uppsats för yrkesexamina på avancerad nivå, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Marcus Lenander; Jakob Tigerström; [2022]
    Nyckelord :Software vulnerability management; vulnerability prioritisation; CVSS; environmental metrics; cyber security; Hantering av sårbarhet i programvara; prioritering av sårbarheter; CVSS; Miljömetrik; cybersäkerhet;

    Sammanfattning : Background. Software vulnerabilities are a constant threat to organisations, businesses, and individuals. Keeping all devices patched from security software vulnerabilities is complex and time-consuming. Companies must use resources efficiently to ensure that the most severe security vulnerability is prioritised first. LÄS MER

  4. 3. Spatial Statistical Modelling of Insurance Claim Frequency

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Daniel Faller; [2022]
    Nyckelord :Insurance risk; claim frequency; Markov chain Monte Carlo MCMC ; Riemann manifold Metropolis adjusted Langevin algorithm MMALA ; spatial statistics; Gaussian Markov random field GMRF ; preconditioned Crank Nicolson Langevin algorithm pCNL ; Gibbs sampling; Bayesian hierarchical modelling; high dimensional; shrinkage prior; horseshoe prior; regularisation.; Mathematics and Statistics;

    Sammanfattning : In this thesis a fully Bayesian hierarchical model that estimates the number of aggregated insurance claims per year for non-life insurances is constructed using Markov chain Monte Carlo based inference with Riemannian Langevin diffusion. Some versions of the model incorporate a spatial effect, viewed as the relative spatial insurance risk that originates from a policyholder's geographical location and where the relative spatial insurance risk is modelled as a continuous spatial field. LÄS MER

  5. 4. Social Policy Assessment of the Gendered Effects of Conditional Cash Transfers in Argentina on Female Beneficiaries: A critical analysis of empowerment and emancipation.

    Kandidat-uppsats, Lunds universitet/Sociologi

    Författare :Madeleine Mae Belanger; [2022]
    Nyckelord :empowerment; emancipation; poverty; feminisation of obligation and responsibility; conditional cash transfers; Argentina; unfavourable inclusion; human capital; Social Sciences;

    Sammanfattning : Conditional cash transfers are a popular social policy across Latin America. Often focused on investments in early childhood education and care, the social policy requires conditionalities such as educational attainment and healthcare to achieve human capital development. LÄS MER

  7. 5. Evaluation of the Variance in the Premium Provision Estimate : Handling Inhomogeneous and Decreasing Risk in Premium Provision Purposes

    Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för matematik och matematisk statistik

    Författare :Eric Egelius; Anna Methander; [2021]
    Nyckelord :Premium Provision; Reserves; Insurance; Claim Frequency; Inhomogeneous Risk; Claim Severity; Hidden Fault; Title Transfer Insurance; Premiereserv; Reserv; Försäkring; Skadefrekvens; Inhomogen Risk; Skadekostnad; Dolda Fel; Säljaransvarsförsäkring;

    Sammanfattning : The costs related to events of losses within non-life insurance are stochastic and a prerequisite of running a successful insurance business is to predict risks and future costs. From both a business- and regulatory perspective, it is of high interest to have a genuine understanding of the precision and the sensitivity of the estimated costs and future risks. LÄS MER