Numerical Methods on the Triple Informative Prior Distribution for the Failure Rate Basic Gompertz Model

In this paper, it has been dealt with basic Gompertz distribution. The maximum likelihood, Bayes methods of estimation were used to estimate the unknown shape parameter. The failure rate (hazard) function with the least loss was found using different priors (Gamma, exponential, chi-square and triple...

Full description

Bibliographic Details
Main Authors: Nadia Al-Obedy, Amal Mohammed, Sudad Abraheem
Format: Article
Language:English
Published: University of Anbar 2022-02-01
Series:مجلة جامعة الانبار للعلوم الصرفة
Subjects:
Online Access:https://juaps.uoanbar.edu.iq/article_172394_d37e05c3e7be82b2dda6ae709941548a.pdf
_version_ 1797373229987266560
author Nadia Al-Obedy
Amal Mohammed
Sudad Abraheem
author_facet Nadia Al-Obedy
Amal Mohammed
Sudad Abraheem
author_sort Nadia Al-Obedy
collection DOAJ
description In this paper, it has been dealt with basic Gompertz distribution. The maximum likelihood, Bayes methods of estimation were used to estimate the unknown shape parameter. The failure rate (hazard) function with the least loss was found using different priors (Gamma, exponential, chi-square and triple prior) under symmetric loss function (Degroot loss function). A comparison was made about the performance of these estimators with the numerical solution that was found using expansion methods (Bernstein polynomial and power function) which was applied to find the failure rate function numerically. The proficiency test of the proposed methods was conducted with a number of test examples. Finally, for computations the Matlab (R2015b) is used.
first_indexed 2024-03-08T18:47:22Z
format Article
id doaj.art-ccfea7e060a04d258b79b99148f692c0
institution Directory Open Access Journal
issn 1991-8941
2706-6703
language English
last_indexed 2024-03-08T18:47:22Z
publishDate 2022-02-01
publisher University of Anbar
record_format Article
series مجلة جامعة الانبار للعلوم الصرفة
spelling doaj.art-ccfea7e060a04d258b79b99148f692c02023-12-28T22:00:47ZengUniversity of Anbarمجلة جامعة الانبار للعلوم الصرفة1991-89412706-67032022-02-01142889410.37652/juaps.2022.172394172394Numerical Methods on the Triple Informative Prior Distribution for the Failure Rate Basic Gompertz ModelNadia Al-Obedy0Amal Mohammed1Sudad Abraheem2Department of Mathematics /College of Science / Mustansiriyah University, Baghdad, IraqDepartment of Wayys&Transportation / College of Engineering / Mustansiriyah University,Department of Mathematics /College of Science / Mustansiriyah University, IraqIn this paper, it has been dealt with basic Gompertz distribution. The maximum likelihood, Bayes methods of estimation were used to estimate the unknown shape parameter. The failure rate (hazard) function with the least loss was found using different priors (Gamma, exponential, chi-square and triple prior) under symmetric loss function (Degroot loss function). A comparison was made about the performance of these estimators with the numerical solution that was found using expansion methods (Bernstein polynomial and power function) which was applied to find the failure rate function numerically. The proficiency test of the proposed methods was conducted with a number of test examples. Finally, for computations the Matlab (R2015b) is used.https://juaps.uoanbar.edu.iq/article_172394_d37e05c3e7be82b2dda6ae709941548a.pdfgompertzbayesfailure rateexpansionbernsteinpower function
spellingShingle Nadia Al-Obedy
Amal Mohammed
Sudad Abraheem
Numerical Methods on the Triple Informative Prior Distribution for the Failure Rate Basic Gompertz Model
مجلة جامعة الانبار للعلوم الصرفة
gompertz
bayes
failure rate
expansion
bernstein
power function
title Numerical Methods on the Triple Informative Prior Distribution for the Failure Rate Basic Gompertz Model
title_full Numerical Methods on the Triple Informative Prior Distribution for the Failure Rate Basic Gompertz Model
title_fullStr Numerical Methods on the Triple Informative Prior Distribution for the Failure Rate Basic Gompertz Model
title_full_unstemmed Numerical Methods on the Triple Informative Prior Distribution for the Failure Rate Basic Gompertz Model
title_short Numerical Methods on the Triple Informative Prior Distribution for the Failure Rate Basic Gompertz Model
title_sort numerical methods on the triple informative prior distribution for the failure rate basic gompertz model
topic gompertz
bayes
failure rate
expansion
bernstein
power function
url https://juaps.uoanbar.edu.iq/article_172394_d37e05c3e7be82b2dda6ae709941548a.pdf
work_keys_str_mv AT nadiaalobedy numericalmethodsonthetripleinformativepriordistributionforthefailureratebasicgompertzmodel
AT amalmohammed numericalmethodsonthetripleinformativepriordistributionforthefailureratebasicgompertzmodel
AT sudadabraheem numericalmethodsonthetripleinformativepriordistributionforthefailureratebasicgompertzmodel