# Study of insurance claim using point process models
> Sunusi N.

URL kanonis: https://discover.unhas.ac.id/publications/pub_scopus_84992186925
Jurnal / Konferensi: Indian Journal of Science and Technology
Tahun terbit: 2016
DOI: https://doi.org/10.17485/ijst/2016/v9i28/97780
ISSN: 09746846
Citations: 1

## Authors
- Sunusi N.

## Abstract
Point Process is a stochastic model that can explain random natural phenomenon both in space and time. The emergence of claims on insurance companies is an occurrence that is random. The phenomenon is generally approximated by stochastic models. This study aims to estimate the emergence of claim in time interval on casualty insurance company through Point Process approach. For this purpose, the construction of likelihood is done. Furthermore, the hazard rate of the probability of a claim occurrence is estimated by maximum likelihood approach. The result shows that hazard rate is influenced by the ratio between the time intervals from the beginning of the emergence of claims and the number of days in the interval of estimation.Keywords: Hazard Rate, Insurance claims, Maximum Likelihood, Point Process

## Keywords
- Interval (graph theory)
- Point process
- Hazard
- Point (geometry)
- Hazard ratio
- Econometrics
- Estimation
- Statistics
- Cox process
- Actuarial science
- Point estimation
- Stochastic process
- Maximum likelihood
- Mathematics
- Phenomenon
- Confidence interval
- Economics
- Poisson process
- Combinatorics
- Physics
- Geometry
- Chemistry
- Organic chemistry
- Poisson distribution
- Management
- Quantum mechanics

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Sumber: Discover Unhas — RIMS Universitas Hasanuddin.
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