A Study of New Continuous Univariate Weibull Model with Empirical Illustrations

The theory of probability distribution is used for mathematical modeling in various research areas. It makes those models flexible that are used to quantify uncertainties and risks in extreme events. This is also important for decision-making. This study proposes a new model labeled as ‘exponentiated alpha Weibull (EAW)’. The densities and reliability functions of EAW are also depicted graphically. Various statistical properties of the proposed model are explored. For estimation, the maximum likelihood (ML) method is applied. Simulation study is also performed. To check model performance, the proposed model is compared with other competitive models (CMs) for water runoff data.

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Publication Details

Journal
Scientific Inquiry and Review
Published
2024-12-15
DOI
https://doi.org/10.32350/sir.84.01
Primary Topic
Hydrology and Drought Analysis
Type
article
Field-Weighted Citation Impact
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article

A Study of New Continuous Univariate Weibull Model with Empirical Illustrations

Shafqat Ali, Sajid Hussain, Shazia Bibi, Muhammad Sohaib Asghar et al.
Scientific Inquiry and Review
Hydrology and Drought Analysis
article

A Study of New Continuous Univariate Weibull Model with Empirical Illustrations

Shafqat Ali, Sajid Hussain, Shazia Bibi, Muhammad Sohaib Asghar, H. M. Kashif Rasheed, Azhar Khan
article en

Abstract

The theory of probability distribution is used for mathematical modeling in various research areas. It makes those models flexible that are used to quantify uncertainties and risks in extreme events. This is also important for decision-making. This study proposes a new model labeled as ‘exponentiated alpha Weibull (EAW)’. The densities and reliability functions of EAW are also depicted graphically. Various statistical properties of the proposed model are explored. For estimation, the maximum likelihood (ML) method is applied. Simulation study is also performed. To check model performance, the proposed model is compared with other competitive models (CMs) for water runoff data.

Scientific Inquiry and ReviewVol. 8(4)
Islamia University of Bahawalpur (PK)
Openalex Percentile: Top 76%
Hydrology and Drought Analysis
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