The Power XLindley Distribution: Statistical Inference, Fuzzy Reliability, and COVID-19 Application

Bouhadjar Meriem; Ahmed M. Gemeay; Ehab M. Almetwally; Zeghdoudi Halim; Etaf Alshawarbeh; Alanazi Talal Abdulrahman; M. M.Abd El-Raouf; Eslam Hussam

doi:10.1155/2022/9094078

The Power XLindley Distribution: Statistical Inference, Fuzzy Reliability, and COVID-19 Application

Bouhadjar Meriem, Ahmed M. Gemeay, Ehab M. Almetwally, Zeghdoudi Halim, Etaf Alshawarbeh, Alanazi Talal Abdulrahman, M. M.Abd El-Raouf, Eslam Hussam

Research output: Contribution to journal › Article › peer-review

36 Scopus citations

Abstract

The power XLindley (PXL) distribution is introduced in this study. It is a two-parameter distribution that extends the XLindley distribution established in this paper. Numerous statistical characteristics of the suggested model were determined analytically. The proposed model's fuzzy dependability was statistically assessed. Numerous estimation techniques have been devised for the purpose of estimating the proposed model parameters. The behaviour of these factors was examined using randomly generated data and developed estimation approaches. The suggested model seems to be superior to its base model and other well-known and related models when applied to the COVID-19 data set.

Original language	English
Article number	9094078
Journal	Journal of Function Spaces
Volume	2022
DOIs	https://doi.org/10.1155/2022/9094078
State	Published - 2022
Externally published	Yes

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title = "The Power XLindley Distribution: Statistical Inference, Fuzzy Reliability, and COVID-19 Application",

abstract = "The power XLindley (PXL) distribution is introduced in this study. It is a two-parameter distribution that extends the XLindley distribution established in this paper. Numerous statistical characteristics of the suggested model were determined analytically. The proposed model's fuzzy dependability was statistically assessed. Numerous estimation techniques have been devised for the purpose of estimating the proposed model parameters. The behaviour of these factors was examined using randomly generated data and developed estimation approaches. The suggested model seems to be superior to its base model and other well-known and related models when applied to the COVID-19 data set.",

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T2 - Statistical Inference, Fuzzy Reliability, and COVID-19 Application

AU - Meriem, Bouhadjar

AU - Gemeay, Ahmed M.

AU - Almetwally, Ehab M.

AU - Halim, Zeghdoudi

AU - Alshawarbeh, Etaf

AU - Abdulrahman, Alanazi Talal

AU - El-Raouf, M. M.Abd

AU - Hussam, Eslam

PY - 2022

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AB - The power XLindley (PXL) distribution is introduced in this study. It is a two-parameter distribution that extends the XLindley distribution established in this paper. Numerous statistical characteristics of the suggested model were determined analytically. The proposed model's fuzzy dependability was statistically assessed. Numerous estimation techniques have been devised for the purpose of estimating the proposed model parameters. The behaviour of these factors was examined using randomly generated data and developed estimation approaches. The suggested model seems to be superior to its base model and other well-known and related models when applied to the COVID-19 data set.

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VL - 2022

JO - Journal of Function Spaces

JF - Journal of Function Spaces

M1 - 9094078

ER -

The Power XLindley Distribution: Statistical Inference, Fuzzy Reliability, and COVID-19 Application

Abstract

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