INAR(2) MODEL FOR NUMBER OF CLAIMS

Number of claims made by policyholder on a portofolio in a period is very important to know because the insurance companies have to fulfill the benefit payments for claims in accordance to the insurance policy so that these number of claims need to be modeled dan predicted for the next period using...

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Main Author: (NIM: 20810002); Pembimbing: Khreshna I.A. Syuhada, M.Sc, Ph.D., RAFIDHA
Format: Theses
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/16892
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:16892
spelling id-itb.:168922017-10-09T10:16:36ZINAR(2) MODEL FOR NUMBER OF CLAIMS (NIM: 20810002); Pembimbing: Khreshna I.A. Syuhada, M.Sc, Ph.D., RAFIDHA Indonesia Theses INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/16892 Number of claims made by policyholder on a portofolio in a period is very important to know because the insurance companies have to fulfill the benefit payments for claims in accordance to the insurance policy so that these number of claims need to be modeled dan predicted for the next period using INAR(2) model. In this thesis, we will discuss the PoINAR(2) and GINAR(2) model with binomial thinning <br /> <br /> <br /> <br /> <br /> <br /> <br /> <br /> <br /> <br /> <br /> <br /> operator. We find that the marginal distribution of Xt is not affected by the inovation processes t. Yule-Walker Estimation dan Conditional Maximum Likelihood Estimation is used to estimate the parameters. Finally, we predict number of claims using one-step ahead prediction and two-step ahead prediction which the latter is better than the former. 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 Number of claims made by policyholder on a portofolio in a period is very important to know because the insurance companies have to fulfill the benefit payments for claims in accordance to the insurance policy so that these number of claims need to be modeled dan predicted for the next period using INAR(2) model. In this thesis, we will discuss the PoINAR(2) and GINAR(2) model with binomial thinning <br /> <br /> <br /> <br /> <br /> <br /> <br /> <br /> <br /> <br /> <br /> <br /> operator. We find that the marginal distribution of Xt is not affected by the inovation processes t. Yule-Walker Estimation dan Conditional Maximum Likelihood Estimation is used to estimate the parameters. Finally, we predict number of claims using one-step ahead prediction and two-step ahead prediction which the latter is better than the former.
format Theses
author (NIM: 20810002); Pembimbing: Khreshna I.A. Syuhada, M.Sc, Ph.D., RAFIDHA
spellingShingle (NIM: 20810002); Pembimbing: Khreshna I.A. Syuhada, M.Sc, Ph.D., RAFIDHA
INAR(2) MODEL FOR NUMBER OF CLAIMS
author_facet (NIM: 20810002); Pembimbing: Khreshna I.A. Syuhada, M.Sc, Ph.D., RAFIDHA
author_sort (NIM: 20810002); Pembimbing: Khreshna I.A. Syuhada, M.Sc, Ph.D., RAFIDHA
title INAR(2) MODEL FOR NUMBER OF CLAIMS
title_short INAR(2) MODEL FOR NUMBER OF CLAIMS
title_full INAR(2) MODEL FOR NUMBER OF CLAIMS
title_fullStr INAR(2) MODEL FOR NUMBER OF CLAIMS
title_full_unstemmed INAR(2) MODEL FOR NUMBER OF CLAIMS
title_sort inar(2) model for number of claims
url https://digilib.itb.ac.id/gdl/view/16892
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