Alpha Power Transformed Inverse Lomax Distribution with Different Methods of Estimation and Applications

In this paper, a new three-parameter lifetime distribution, alpha power transformed inverse Lomax (APTIL) distribution, is proposed. The APTIL distribution is more flexible than inverse Lomax distribution. We derived some mathematical properties including moments, moment generating function, quantil...

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Main Authors: Ramadan A. ZeinEldin, Muhammad Ahsan ul Haq, Sharqa Hashmi, Mahmoud Elsehety
Format: Article
Language:English
Published: Hindawi-Wiley 2020-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2020/1860813
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spelling doaj-660f04a0f10b40dc8b6e2da56bc60c4c2020-11-25T01:31:24ZengHindawi-WileyComplexity1076-27871099-05262020-01-01202010.1155/2020/18608131860813Alpha Power Transformed Inverse Lomax Distribution with Different Methods of Estimation and ApplicationsRamadan A. ZeinEldin0Muhammad Ahsan ul Haq1Sharqa Hashmi2Mahmoud Elsehety3Deanship of Scientific Research, King Abdulaziz University, Jeddah, Saudi ArabiaQuality Enhancement Cell, National College of Arts, Lahore, PakistanCollege of Statistical & Actuarial Sciences, University of the Punjab, Lahore, PakistanKing Abdulaziz University, Jeddah, Saudi ArabiaIn this paper, a new three-parameter lifetime distribution, alpha power transformed inverse Lomax (APTIL) distribution, is proposed. The APTIL distribution is more flexible than inverse Lomax distribution. We derived some mathematical properties including moments, moment generating function, quantile function, mode, stress strength reliability, and order statistics. Characterization related to hazard rate function is also derived. The model parameters are estimated using eight estimation methods including maximum likelihood, least squares, weighted least squares, percentile, Cramer–von Mises, maximum product of spacing, Anderson–Darling, and right-tail Anderson–Darling. Numerical results are calculated to compare the performance of these estimation methods. Finally, we used three real-life datasets to show the flexibility of the APTIL distribution.http://dx.doi.org/10.1155/2020/1860813
collection DOAJ
language English
format Article
sources DOAJ
author Ramadan A. ZeinEldin
Muhammad Ahsan ul Haq
Sharqa Hashmi
Mahmoud Elsehety
spellingShingle Ramadan A. ZeinEldin
Muhammad Ahsan ul Haq
Sharqa Hashmi
Mahmoud Elsehety
Alpha Power Transformed Inverse Lomax Distribution with Different Methods of Estimation and Applications
Complexity
author_facet Ramadan A. ZeinEldin
Muhammad Ahsan ul Haq
Sharqa Hashmi
Mahmoud Elsehety
author_sort Ramadan A. ZeinEldin
title Alpha Power Transformed Inverse Lomax Distribution with Different Methods of Estimation and Applications
title_short Alpha Power Transformed Inverse Lomax Distribution with Different Methods of Estimation and Applications
title_full Alpha Power Transformed Inverse Lomax Distribution with Different Methods of Estimation and Applications
title_fullStr Alpha Power Transformed Inverse Lomax Distribution with Different Methods of Estimation and Applications
title_full_unstemmed Alpha Power Transformed Inverse Lomax Distribution with Different Methods of Estimation and Applications
title_sort alpha power transformed inverse lomax distribution with different methods of estimation and applications
publisher Hindawi-Wiley
series Complexity
issn 1076-2787
1099-0526
publishDate 2020-01-01
description In this paper, a new three-parameter lifetime distribution, alpha power transformed inverse Lomax (APTIL) distribution, is proposed. The APTIL distribution is more flexible than inverse Lomax distribution. We derived some mathematical properties including moments, moment generating function, quantile function, mode, stress strength reliability, and order statistics. Characterization related to hazard rate function is also derived. The model parameters are estimated using eight estimation methods including maximum likelihood, least squares, weighted least squares, percentile, Cramer–von Mises, maximum product of spacing, Anderson–Darling, and right-tail Anderson–Darling. Numerical results are calculated to compare the performance of these estimation methods. Finally, we used three real-life datasets to show the flexibility of the APTIL distribution.
url http://dx.doi.org/10.1155/2020/1860813
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AT muhammadahsanulhaq alphapowertransformedinverselomaxdistributionwithdifferentmethodsofestimationandapplications
AT sharqahashmi alphapowertransformedinverselomaxdistributionwithdifferentmethodsofestimationandapplications
AT mahmoudelsehety alphapowertransformedinverselomaxdistributionwithdifferentmethodsofestimationandapplications
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