Comparison Between Two Approaches (MLE &DLS) to Estimate Frechet Poisson Lindley Distribution Compound by Using Simulation
In this paper simulation technique plays a vital role to compare between two approaches Maximum Likelihood method and Developed Least Square method to estimate the parameters of Frechet Poisson Lindley Distribution Compound. by coding using Matlab software program. Also, under different sample si...
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Format: | Article |
Language: | English |
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University of Baghdad
2016-12-01
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Series: | Ibn Al-Haitham Journal for Pure and Applied Sciences |
Subjects: | |
Online Access: | https://jih.uobaghdad.edu.iq/index.php/j/article/view/738 |
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author | Emad Hazm Abody Ali Bander Nuimai |
author_facet | Emad Hazm Abody Ali Bander Nuimai |
author_sort | Emad Hazm Abody |
collection | DOAJ |
description |
In this paper simulation technique plays a vital role to compare between two approaches Maximum Likelihood method and Developed Least Square method to estimate the parameters of Frechet Poisson Lindley Distribution Compound. by coding using Matlab software program. Also, under different sample sizes via mean square error. As the results which obtain that Maximum Likelihood Estimation method is better than Developed Least Square method to estimate these parameters to the proposed distribution.
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first_indexed | 2024-04-13T23:21:59Z |
format | Article |
id | doaj.art-d4f1ab0c22364f56a873ece09d6916ea |
institution | Directory Open Access Journal |
issn | 1609-4042 2521-3407 |
language | English |
last_indexed | 2024-04-13T23:21:59Z |
publishDate | 2016-12-01 |
publisher | University of Baghdad |
record_format | Article |
series | Ibn Al-Haitham Journal for Pure and Applied Sciences |
spelling | doaj.art-d4f1ab0c22364f56a873ece09d6916ea2022-12-22T02:25:12ZengUniversity of BaghdadIbn Al-Haitham Journal for Pure and Applied Sciences1609-40422521-34072016-12-01293Comparison Between Two Approaches (MLE &DLS) to Estimate Frechet Poisson Lindley Distribution Compound by Using SimulationEmad Hazm AbodyAli Bander Nuimai In this paper simulation technique plays a vital role to compare between two approaches Maximum Likelihood method and Developed Least Square method to estimate the parameters of Frechet Poisson Lindley Distribution Compound. by coding using Matlab software program. Also, under different sample sizes via mean square error. As the results which obtain that Maximum Likelihood Estimation method is better than Developed Least Square method to estimate these parameters to the proposed distribution. https://jih.uobaghdad.edu.iq/index.php/j/article/view/738Frechet, Poisson Lindley, Distribution Compound, Simulation, (MLE &DLS) |
spellingShingle | Emad Hazm Abody Ali Bander Nuimai Comparison Between Two Approaches (MLE &DLS) to Estimate Frechet Poisson Lindley Distribution Compound by Using Simulation Ibn Al-Haitham Journal for Pure and Applied Sciences Frechet, Poisson Lindley, Distribution Compound, Simulation, (MLE &DLS) |
title | Comparison Between Two Approaches (MLE &DLS) to Estimate Frechet Poisson Lindley Distribution Compound by Using Simulation |
title_full | Comparison Between Two Approaches (MLE &DLS) to Estimate Frechet Poisson Lindley Distribution Compound by Using Simulation |
title_fullStr | Comparison Between Two Approaches (MLE &DLS) to Estimate Frechet Poisson Lindley Distribution Compound by Using Simulation |
title_full_unstemmed | Comparison Between Two Approaches (MLE &DLS) to Estimate Frechet Poisson Lindley Distribution Compound by Using Simulation |
title_short | Comparison Between Two Approaches (MLE &DLS) to Estimate Frechet Poisson Lindley Distribution Compound by Using Simulation |
title_sort | comparison between two approaches mle dls to estimate frechet poisson lindley distribution compound by using simulation |
topic | Frechet, Poisson Lindley, Distribution Compound, Simulation, (MLE &DLS) |
url | https://jih.uobaghdad.edu.iq/index.php/j/article/view/738 |
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