ALGORITHM STUDY ZERO INFLATED POISSON AUTOREGRESSION MODEL FOR R PROGRAM, CASE STUDY: THE NUMBER OF EARTHQUAKES AT SULAWESI ISLAND

ALGORITHM STUDY ZERO INFLATED POISSON AUTOREGRESSION MODEL FOR R PROGRAM, CASE STUDY: THE NUMBER OF EARTHQUAKES AT SULAWESI ISLAND

Earthquake is a natural phenomenon at Sulawesi because Sulawesi is in Ring of Fire area. The number of earthquakes that occur always become concern, because it can affect building and population at Sulawesi. So the decision to anticipate the huge loss is to estimate amount of the earthquake. We can...

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Main Author: WIRADANA (10112064), IVAN
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/22655
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:22655
spelling id-itb.:226552017-09-27T11:43:14ZALGORITHM STUDY ZERO INFLATED POISSON AUTOREGRESSION MODEL FOR R PROGRAM, CASE STUDY: THE NUMBER OF EARTHQUAKES AT SULAWESI ISLAND WIRADANA (10112064), IVAN Indonesia Final Project INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/22655 Earthquake is a natural phenomenon at Sulawesi because Sulawesi is in Ring of Fire area. The number of earthquakes that occur always become concern, because it can affect building and population at Sulawesi. So the decision to anticipate the huge loss is to estimate amount of the earthquake. We can treat the number of earthquakes as counting data and stochastic process with time parameter index. Zero Inflated Poisson Autoregression is one of the appropriate model for number of earthquakes. Besides the number of earthquakes contain many zeros data, earthquakes also dependent event that affect the chance of quake depend on last quake. Hence, modeling with Zero Inflated Poisson Autoregression for the number of earthquakes expected can help predict the number of earthquakes in the future. 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 Earthquake is a natural phenomenon at Sulawesi because Sulawesi is in Ring of Fire area. The number of earthquakes that occur always become concern, because it can affect building and population at Sulawesi. So the decision to anticipate the huge loss is to estimate amount of the earthquake. We can treat the number of earthquakes as counting data and stochastic process with time parameter index. Zero Inflated Poisson Autoregression is one of the appropriate model for number of earthquakes. Besides the number of earthquakes contain many zeros data, earthquakes also dependent event that affect the chance of quake depend on last quake. Hence, modeling with Zero Inflated Poisson Autoregression for the number of earthquakes expected can help predict the number of earthquakes in the future.
format Final Project
author WIRADANA (10112064), IVAN
spellingShingle WIRADANA (10112064), IVAN
ALGORITHM STUDY ZERO INFLATED POISSON AUTOREGRESSION MODEL FOR R PROGRAM, CASE STUDY: THE NUMBER OF EARTHQUAKES AT SULAWESI ISLAND
author_facet WIRADANA (10112064), IVAN
author_sort WIRADANA (10112064), IVAN
title ALGORITHM STUDY ZERO INFLATED POISSON AUTOREGRESSION MODEL FOR R PROGRAM, CASE STUDY: THE NUMBER OF EARTHQUAKES AT SULAWESI ISLAND
title_short ALGORITHM STUDY ZERO INFLATED POISSON AUTOREGRESSION MODEL FOR R PROGRAM, CASE STUDY: THE NUMBER OF EARTHQUAKES AT SULAWESI ISLAND
title_full ALGORITHM STUDY ZERO INFLATED POISSON AUTOREGRESSION MODEL FOR R PROGRAM, CASE STUDY: THE NUMBER OF EARTHQUAKES AT SULAWESI ISLAND
title_fullStr ALGORITHM STUDY ZERO INFLATED POISSON AUTOREGRESSION MODEL FOR R PROGRAM, CASE STUDY: THE NUMBER OF EARTHQUAKES AT SULAWESI ISLAND
title_full_unstemmed ALGORITHM STUDY ZERO INFLATED POISSON AUTOREGRESSION MODEL FOR R PROGRAM, CASE STUDY: THE NUMBER OF EARTHQUAKES AT SULAWESI ISLAND
title_sort algorithm study zero inflated poisson autoregression model for r program, case study: the number of earthquakes at sulawesi island
url https://digilib.itb.ac.id/gdl/view/22655
_version_ 1821120837956141056

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