Risks, 2021 In insurance rate-making, the use of statistical machine learning techniques such as artificial neural networks (ANN) is an emerging approach, and many insurance companies have been using them for pricing.
Shengkun Xie
doaj +1 more source
A Comparison of Risk Classification Methods for Claim Severity Data [PDF]
, 2005 The objective of this article is to compare several risk classification methods for claim severity data by using weighted equation which is written as a weighted difference between the observed and fitted values.
Ismail, Noriszura, Jemain, Abdul Aziz
core +2 more sources
Modelling Catastrophe Claims with Left-Truncated Severity Distributions (Extended Version) [PDF]
SSRN Electronic Journal, 2005 In this paper, we present a procedure for consistent estimation of the severity and frequency distributions based on incomplete insurance data and demonstrate that ignoring the thresholds leads to a serious underestimation of the ruin probabilities. The event frequency is modelled with a non-homogeneous Poisson process with a sinusoidal intensity rate ...
Anna Chernobai +4 more
openaire +2 more sources
Construction Claim Types and Causes for a Large-Scale Hydropower Project in Bhutan [PDF]
Journal of Construction in Developing Countries, 2015 Hydropower construction projects are complex and uncertain, have long gestational periods and involve several parties. Furthermore, they require the integration of different components (Civil, Mechanical and Electrical) to work together as a single unit.
Bonaventura H.W. Hadikusumo +1 more
doaj
Actuarial Measures for Inverse Gaussian Distributed Claim Severity
Jurnal Matematika, Statistika dan Komputasi, 2023 An insurance company must be able to manage risks in the form of claims submitted by policyholders. There are several risk measures or actuarial measures that can be used to predict future risks and help companies prepare reserves. These actuarial measures are Value at Risk (VaR), Tail Value at Risk (TVaR), Tail Variance (TV), and Tail Variance Premium
Fauziah Rahmayanti +1 more
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Automatic damaged vehicle estimator using enhanced deep learning algorithm
Intelligent Systems with Applications, 2023 Claim leakage costs insurance companies millions of dollars each year because of the disparity between the cost spent by allowance businesses and the accurate quantity that must be reimbursed.
Jihad Qaddour, Syeda Ayesha Siddiqa
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Long-term Symptomatic, Functional, and Work Outcomes of Carpal Tunnel Syndrome among Construction Workers [PDF]
, 2016 BACKGROUND: The long-term outcomes of carpal tunnel syndrome (CTS) including symptoms, functional status, work disability, and economic impact are unknown. METHODS: We conducted a retrospective study of 234 active construction workers with medical claims
Amick +36 more
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Determinants of Noneconomic Damages in Medical Malpractice Settlements and Litigations: Evidence from Texas since 1988 [PDF]
, 2010 There have long been claims that compensations for noneconomic damages are random because tort law does not provide clear guidance regarding these compensations.
Zhou, Jun
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Robust Estimation of the Tail Index of a Single Parameter Pareto Distribution from Grouped Data
RisksNumerous robust estimators exist as alternatives to the maximum likelihood estimator (MLE) when a completely observed ground-up loss severity sample dataset is available.
Chudamani Poudyal
doaj +1 more source
Setting the optimal limit value of motor insurance coverage by stochastic optimization [PDF]
, 2018 In this paper, we provide an alternative to a passive approach to the selection of insurance products or policy con-ditions. Specifically, we propose a method to make a decision about the optimal limit value for motor insurance coverage.
Hanelová, Lucie, Valecký, Jiří
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