A new modified model with application to engineering data sets

Alsadat, Najwan

doi:10.1016/j.aej.2023.03.050

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2024

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“…The values for the monthly maximum snowfall data set. [5], Wani and Shafi [30], Alsadat [25] and Alsadat et al [26]. The considered data is given as…”

Section: Maximum Product Of Spacingsmentioning

confidence: 99%

On the Analysis of Environmental and Engineering Data Using Alpha Power Transformed Cosine Moment Exponential Model

Alrweili

2024

Int. J. Anal. Appl.

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This article introduces a new model using the alpha power cosine transformed method for modeling complex data used in hydrology and engineering studies. The alpha power novel distribution transformed the cosine moment exponential model with two parameters. Its probability density function can be skewed and unimodal. Various statistical and mathematical properties are established, and the unknown parameters of the suggested model are determined using numerous estimation procedures. Also, the potential of these estimation techniques is calculated via some simulation studies. In the end, two real data sets are made using the proposed model to make a practical application in environmental and survival fields. The potential and utility of the recommended distribution are verified with other well known models and it shows great superiority in fitting the proposed data sets.

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“…The values for the monthly maximum snowfall data set. [5], Wani and Shafi [30], Alsadat [25] and Alsadat et al [26]. The considered data is given as…”

Section: Maximum Product Of Spacingsmentioning

confidence: 99%

On the Analysis of Environmental and Engineering Data Using Alpha Power Transformed Cosine Moment Exponential Model

Alrweili

2024

Int. J. Anal. Appl.

View full text Add to dashboard Cite

show abstract

A new modified model with application to engineering data sets

Cited by 1 publication

References 43 publications

On the Analysis of Environmental and Engineering Data Using Alpha Power Transformed Cosine Moment Exponential Model

On the Analysis of Environmental and Engineering Data Using Alpha Power Transformed Cosine Moment Exponential Model

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