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In this …nal project, the determination of the risk premium of an inpatient health insurance, with study case on female patients, is discussed. The data analyzed consists of three variables: number of claims; length of stay (in days); and amount of claims for medicine and laboratory. After...

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Main Author: HARDINI (NIM. 101 06 096); Pembimbing Tugas Akhir : Dumaria R. Tampubolon, PhD, DINI
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/15413
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:15413
spelling id-itb.:154132017-09-27T11:43:10Z#TITLE_ALTERNATIVE# HARDINI (NIM. 101 06 096); Pembimbing Tugas Akhir : Dumaria R. Tampubolon, PhD, DINI Indonesia Final Project INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/15413 In this …nal project, the determination of the risk premium of an inpatient health insurance, with study case on female patients, is discussed. The data analyzed consists of three variables: number of claims; length of stay (in days); and amount of claims for medicine and laboratory. After the data is “cleaned”, parametric models are selected to represent each variable. The modeling consists of three stages: model selection, parameter estimation and goodness-of-…t test. The probability distributions of total length of stay and of total claims for medicine and laboratory are determined using recursive method and by simulation. The simulation is carried out using MonteCarlo simulation. Using the result from the simulation, the risk premium is then determined using standard deviation principle. 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 In this …nal project, the determination of the risk premium of an inpatient health insurance, with study case on female patients, is discussed. The data analyzed consists of three variables: number of claims; length of stay (in days); and amount of claims for medicine and laboratory. After the data is “cleaned”, parametric models are selected to represent each variable. The modeling consists of three stages: model selection, parameter estimation and goodness-of-…t test. The probability distributions of total length of stay and of total claims for medicine and laboratory are determined using recursive method and by simulation. The simulation is carried out using MonteCarlo simulation. Using the result from the simulation, the risk premium is then determined using standard deviation principle.
format Final Project
author HARDINI (NIM. 101 06 096); Pembimbing Tugas Akhir : Dumaria R. Tampubolon, PhD, DINI
spellingShingle HARDINI (NIM. 101 06 096); Pembimbing Tugas Akhir : Dumaria R. Tampubolon, PhD, DINI
#TITLE_ALTERNATIVE#
author_facet HARDINI (NIM. 101 06 096); Pembimbing Tugas Akhir : Dumaria R. Tampubolon, PhD, DINI
author_sort HARDINI (NIM. 101 06 096); Pembimbing Tugas Akhir : Dumaria R. Tampubolon, PhD, DINI
title #TITLE_ALTERNATIVE#
title_short #TITLE_ALTERNATIVE#
title_full #TITLE_ALTERNATIVE#
title_fullStr #TITLE_ALTERNATIVE#
title_full_unstemmed #TITLE_ALTERNATIVE#
title_sort #title_alternative#
url https://digilib.itb.ac.id/gdl/view/15413
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