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315419

Efficiency of the approximate Bayesian Prediction of ARMA Models: A Simulation Study

Article

Last updated: 28 Dec 2024

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Abstract

This paper is interested in the   Efficiency of the approximate Bayesian Prediction of ARMA Models. Three different approximate one step-ahead predictive densities using three different   approximate are considered. These  approximations are proposed by Newbold (1973), Zellner and Reynolds (1978) and Broemeling and Shaarawy (1988). Simulation is employed to study and compare the performance of the three  approximate one-ahead predictive densities using some ARMA models. Simulation results show that, there is no remarkable difference between the three   approximate one-ahead predictive densities in their efficiency. Moreover, their first two moment converge to those of the exact one step-ahead predictive density.

DOI

10.21608/esju.2008.315419

Keywords

prediction, one step-ahead predictive density, ARMA models, Newbold approximation - Zellner and Reynolds approximation- Broemeling and Shaarawy approximation

Volume

52

Article Issue

2

Related Issue

33788

Issue Date

2008-12-01

Receive Date

2008-08-31

Publish Date

2008-12-01

Page Start

56

Page End

75

Print ISSN

0542-1748

Online ISSN

2786-0086

Link

https://esju.journals.ekb.eg/article_315419.html

Detail API

https://esju.journals.ekb.eg/service?article_code=315419

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1

Type

Original Article

Type Code

1,914

Publication Type

Journal

Publication Title

The Egyptian Statistical Journal

Publication Link

https://esju.journals.ekb.eg/

MainTitle

Efficiency of the approximate Bayesian Prediction of ARMA Models: A Simulation Study

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Article

Created At

28 Dec 2024