Modeling COVID-19 Real Data Set by a New Extension of Haq Distribution

Yusra Tashkandy; Mahmoud E. Bakr; Ahmed M. Gemeay; Eslam Hussam; Mahmoud M. Abd El-Raouf; Md Moyazzem Hossain

doi:10.3390/axioms12040327

Modeling COVID-19 Real Data Set by a New Extension of Haq Distribution

Yusra Tashkandy, Mahmoud E. Bakr, Ahmed M. Gemeay, Eslam Hussam, Mahmoud M. Abd El-Raouf, Md Moyazzem Hossain

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

2 Scopus citations

Abstract

Modeling real-life pandemics is very important; this study focuses on introducing a new superior flexible extension of the asymmetric Haq distribution known as the power Haq distribution (PHD). The most fundamental mathematical properties are derived. We determine its parameters using ten estimation methods. The asymptotic behavior of its estimators is investigated through simulation, and a comparison is done to find out the most efficient method for estimating the parameters of the distribution under consideration. We use a sample for the COVID-19 data set to evaluate the proposed model’s performance and usefulness in fitting the data set in comparison to other well-known models.

Original language	English
Article number	327
Journal	Axioms
Volume	12
Issue number	4
DOIs	https://doi.org/10.3390/axioms12040327
State	Published - Apr 2023
Externally published	Yes

Keywords

COVID-19
estimation
Haq distribution
modeling
simulation

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.3390/axioms12040327

Cite this

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title = "Modeling COVID-19 Real Data Set by a New Extension of Haq Distribution",

abstract = "Modeling real-life pandemics is very important; this study focuses on introducing a new superior flexible extension of the asymmetric Haq distribution known as the power Haq distribution (PHD). The most fundamental mathematical properties are derived. We determine its parameters using ten estimation methods. The asymptotic behavior of its estimators is investigated through simulation, and a comparison is done to find out the most efficient method for estimating the parameters of the distribution under consideration. We use a sample for the COVID-19 data set to evaluate the proposed model{\textquoteright}s performance and usefulness in fitting the data set in comparison to other well-known models.",

keywords = "COVID-19, estimation, Haq distribution, modeling, simulation",

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language = "English",

volume = "12",

journal = "Axioms",

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T1 - Modeling COVID-19 Real Data Set by a New Extension of Haq Distribution

AU - Tashkandy, Yusra

AU - Bakr, Mahmoud E.

AU - Gemeay, Ahmed M.

AU - Hussam, Eslam

AU - Abd El-Raouf, Mahmoud M.

AU - Hossain, Md Moyazzem

PY - 2023/4

Y1 - 2023/4

N2 - Modeling real-life pandemics is very important; this study focuses on introducing a new superior flexible extension of the asymmetric Haq distribution known as the power Haq distribution (PHD). The most fundamental mathematical properties are derived. We determine its parameters using ten estimation methods. The asymptotic behavior of its estimators is investigated through simulation, and a comparison is done to find out the most efficient method for estimating the parameters of the distribution under consideration. We use a sample for the COVID-19 data set to evaluate the proposed model’s performance and usefulness in fitting the data set in comparison to other well-known models.

AB - Modeling real-life pandemics is very important; this study focuses on introducing a new superior flexible extension of the asymmetric Haq distribution known as the power Haq distribution (PHD). The most fundamental mathematical properties are derived. We determine its parameters using ten estimation methods. The asymptotic behavior of its estimators is investigated through simulation, and a comparison is done to find out the most efficient method for estimating the parameters of the distribution under consideration. We use a sample for the COVID-19 data set to evaluate the proposed model’s performance and usefulness in fitting the data set in comparison to other well-known models.

KW - COVID-19

KW - estimation

KW - Haq distribution

KW - modeling

KW - simulation

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JO - Axioms

JF - Axioms

IS - 4

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ER -

Modeling COVID-19 Real Data Set by a New Extension of Haq Distribution

Abstract

Keywords

UN SDGs

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