Results 11 to 20 of about 447,527 (308)

The Use of Monte Carlo Method to Model the Aggregate Loss Distribution

open access: yesAl-Jabar, 2020
Based on Law Number 24 of 2011, a state program was established to provide social protection and welfare for everyone, one of which is health insurance by the Social Insurance Administration Organization (BPJS).
Rafika Septiany   +2 more
doaj   +1 more source

Occupational Injuries Among Construction Workers by Age and Related Economic Loss: Findings From Ohio Workers' Compensation, USA: 2007–2017

open access: yesSafety and Health at Work, 2023
Background: This study examined age-group differences in the rate, severity, and cost of injuries among construction workers to support evidence-based worker safety and health interventions in the construction industry.
Harpriya Kaur   +7 more
doaj   +1 more source

Calculation of solvency capital requirements for non-life underwriting risk using generalized linear models [PDF]

open access: yes, 2017
The paper presents various GLM models using individual rating factors to calculate the solvency capital requirements for non-life underwriting risk in insurance.
Andrade-Silva   +10 more
core   +1 more source

Boosting insights in insurance tariff plans with tree-based machine learning methods [PDF]

open access: yes, 2020
Pricing actuaries typically operate within the framework of generalized linear models (GLMs). With the upswing of data analytics, our study puts focus on machine learning methods to develop full tariff plans built from both the frequency and severity of ...
Antonio, Katrien   +3 more
core   +1 more source

Focussed selection of the claim severity distribution [PDF]

open access: yesScandinavian Actuarial Journal, 2018
Risk assessment is a core theme within non-life insurance and estimation of quantiles far out in the upper tail is therefore one of the main applications of the total loss distribution of a non-lif...
Yinzhi Wang, Ingrid Hobæk Haff
openaire   +3 more sources

Bivariate Mixed Poisson and Normal Generalised Linear Models with Sarmanov Dependence—An Application to Model Claim Frequency and Optimal Transformed Average Severity

open access: yesMathematics, 2020
The aim of this paper is to introduce dependence between the claim frequency and the average severity of a policyholder or of an insurance portfolio using a bivariate Sarmanov distribution, that allows to join variables of different types and with ...
Ramon Alemany   +3 more
doaj   +1 more source

Psychological Distress, Pain and Insurance Claims Negatively Affect Long-Term Health-Related Quality of Life After Road Traffic Injuries

open access: yesJournal of Rehabilitation Medicine, 2022
Objective: A prospective cohort study to investigate how injury and early post-injury psychosocial factors influence health outcomes 12 months after road traffic injury.
Kevin K. C. Hung   +11 more
doaj   +1 more source

Ruin Probability Analysis in Automobile Insurance Using Gamma-Cubic Transmuted Exponential Distribution for Claim Severity [PDF]

open access: yesInternational Journal of Mathematical, Engineering and Management Sciences
Insurance companies must confront and manage financial risks to ensure their survival. This article analyzes and manages risks by estimating ruin probability using the newly developed Gamma-Cubic Transmuted Exponential (GCTE) claim severity distribution.
Jiramet Hengcharoensuk, Adisak Moumeesri
doaj   +1 more source

Improving Explainability of Major Risk Factors in Artificial Neural Networks for Auto Insurance Rate Regulation

open access: yesRisks, 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]

open access: yes, 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

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