Prediction Limits for Poisson INAR(1) Process

We discuss the problem of deriving an estimative prediction limit as well as a simulation-based improved prediction limit for a future realization from the stationary, first-order Poisson INAR(1) process. An assessment of these limits was carried out by calculating their coverage probability, condit...

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Main Authors: Khreshna Syuhada, Abdulhamid Alzaid, Salah Djemili
Format: Article
Language:English
Published: ITB Journal Publisher 2015-06-01
Series:Journal of Mathematical and Fundamental Sciences
Subjects:
Online Access:http://journals.itb.ac.id/index.php/jmfs/article/view/474
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author Khreshna Syuhada
Abdulhamid Alzaid
Salah Djemili
author_facet Khreshna Syuhada
Abdulhamid Alzaid
Salah Djemili
author_sort Khreshna Syuhada
collection DOAJ
description We discuss the problem of deriving an estimative prediction limit as well as a simulation-based improved prediction limit for a future realization from the stationary, first-order Poisson INAR(1) process. An assessment of these limits was carried out by calculating their coverage probability, conditional on the last observation. It was found that while an estimative prediction limit may always be calculated, an improved prediction limit may not be obtained due to its discreteness and expectation to obtain a coherent prediction.
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spelling doaj.art-4e82460b21c243039dbdc7e9d7008ebf2022-12-21T19:18:03ZengITB Journal PublisherJournal of Mathematical and Fundamental Sciences2337-57602338-55102015-06-0147211712510.5614/j.math.fund.sci.2015.47.2.1Prediction Limits for Poisson INAR(1) ProcessKhreshna Syuhada0Abdulhamid Alzaid1Salah Djemili2Statistics Research Division, Department of Mathematics Institut Teknologi Bandung, Jalan Ganesa 10 Bandung 40132, IndonesiaDepartment of Statistics and OR, King Saud University Riyadh 11362, Saudi ArabiaDepartment of Statistics and OR, King Saud University Riyadh 11362, Saudi ArabiaWe discuss the problem of deriving an estimative prediction limit as well as a simulation-based improved prediction limit for a future realization from the stationary, first-order Poisson INAR(1) process. An assessment of these limits was carried out by calculating their coverage probability, conditional on the last observation. It was found that while an estimative prediction limit may always be calculated, an improved prediction limit may not be obtained due to its discreteness and expectation to obtain a coherent prediction.http://journals.itb.ac.id/index.php/jmfs/article/view/474coverage probabilityestimative prediction limitimproved prediction limitinteger-valued time series
spellingShingle Khreshna Syuhada
Abdulhamid Alzaid
Salah Djemili
Prediction Limits for Poisson INAR(1) Process
Journal of Mathematical and Fundamental Sciences
coverage probability
estimative prediction limit
improved prediction limit
integer-valued time series
title Prediction Limits for Poisson INAR(1) Process
title_full Prediction Limits for Poisson INAR(1) Process
title_fullStr Prediction Limits for Poisson INAR(1) Process
title_full_unstemmed Prediction Limits for Poisson INAR(1) Process
title_short Prediction Limits for Poisson INAR(1) Process
title_sort prediction limits for poisson inar 1 process
topic coverage probability
estimative prediction limit
improved prediction limit
integer-valued time series
url http://journals.itb.ac.id/index.php/jmfs/article/view/474
work_keys_str_mv AT khreshnasyuhada predictionlimitsforpoissoninar1process
AT abdulhamidalzaid predictionlimitsforpoissoninar1process
AT salahdjemili predictionlimitsforpoissoninar1process