SIMULATION STUDY OF CRITICAL DISEASE MORTALITY TABLES THROUGH THE MARKOV CHAIN RESAMPLING APPROACH

SIMULATION STUDY OF CRITICAL DISEASE MORTALITY TABLES THROUGH THE MARKOV CHAIN RESAMPLING APPROACH

One of the products of health insurance is critical illness insurance with benefits provided at the same time, if the policy holder is attacked by a critical illness during the contract period. In this thesis, the application of the Markov chain model with four conditions is used to construct a mort...

Full description

Saved in:
Bibliographic Details
Main Author: Hana Zafirah, Arum
Format: Theses
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/43185
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:43185
spelling id-itb.:431852019-09-26T08:49:17ZSIMULATION STUDY OF CRITICAL DISEASE MORTALITY TABLES THROUGH THE MARKOV CHAIN RESAMPLING APPROACH Hana Zafirah, Arum Indonesia Theses continuous time markov chains, mortality tables, opportunities and transition rates, critical illness insurance premiums, resampling. INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/43185 One of the products of health insurance is critical illness insurance with benefits provided at the same time, if the policy holder is attacked by a critical illness during the contract period. In this thesis, the application of the Markov chain model with four conditions is used to construct a mortality table, which considers every possible situation in breast cancer patients. The table was built with a resampling approach to breast cancer patient data obtained from Hasan Sadikin Hospital from January 2011 to December 2016. Furthermore, the mortality table is used to estimate the opportunity and rate of transfer of the condition of this critical illness patient. It was found that policyholders in the 40-45 years age range had the highest premium payment estimates text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description One of the products of health insurance is critical illness insurance with benefits provided at the same time, if the policy holder is attacked by a critical illness during the contract period. In this thesis, the application of the Markov chain model with four conditions is used to construct a mortality table, which considers every possible situation in breast cancer patients. The table was built with a resampling approach to breast cancer patient data obtained from Hasan Sadikin Hospital from January 2011 to December 2016. Furthermore, the mortality table is used to estimate the opportunity and rate of transfer of the condition of this critical illness patient. It was found that policyholders in the 40-45 years age range had the highest premium payment estimates
format Theses
author Hana Zafirah, Arum
spellingShingle Hana Zafirah, Arum
SIMULATION STUDY OF CRITICAL DISEASE MORTALITY TABLES THROUGH THE MARKOV CHAIN RESAMPLING APPROACH
author_facet Hana Zafirah, Arum
author_sort Hana Zafirah, Arum
title SIMULATION STUDY OF CRITICAL DISEASE MORTALITY TABLES THROUGH THE MARKOV CHAIN RESAMPLING APPROACH
title_short SIMULATION STUDY OF CRITICAL DISEASE MORTALITY TABLES THROUGH THE MARKOV CHAIN RESAMPLING APPROACH
title_full SIMULATION STUDY OF CRITICAL DISEASE MORTALITY TABLES THROUGH THE MARKOV CHAIN RESAMPLING APPROACH
title_fullStr SIMULATION STUDY OF CRITICAL DISEASE MORTALITY TABLES THROUGH THE MARKOV CHAIN RESAMPLING APPROACH
title_full_unstemmed SIMULATION STUDY OF CRITICAL DISEASE MORTALITY TABLES THROUGH THE MARKOV CHAIN RESAMPLING APPROACH
title_sort simulation study of critical disease mortality tables through the markov chain resampling approach
url https://digilib.itb.ac.id/gdl/view/43185
_version_ 1822926503423246336

Similar Items