A new sine-arisen probabilistic model and artificial neural network methods for statistical modeling of the music engineering and reliability data-Reference-Cited by-同舟云学术

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A new sine-arisen probabilistic model and artificial neural network methods for statistical modeling of the music engineering and reliability data

Published:2024-08 Issue: Volume:101 Page:108-117
ISSN:1110-0168
Container-title:Alexandria Engineering Journal
language:en
Short-container-title:Alexandria Engineering Journal

Author:

Zhu Junqiao,El-Din Marwa M. Mohie,Seong Jin-Taek^ORCID,Tashkandy Yusra A.,Bakr M.E.,Kumar Anoop^ORCID

Funder

King Saud University

Publisher

Elsevier BV

Reference22 articles.

1. A new generator of probability models: the exponentiated sine-G family for lifetime studies;Muhammad;Entropy,2021

2. A new extended cosine—G distributions for lifetime studies;Muhammad;Mathematics,2021

3. Exponentiated Weibull family for analyzing bathtub failure-rate data;Mudholkar;IEEE Trans. Reliab.,1993

4. The Kumaraswamy Weibull distribution with application to failure data;Cordeiro;J. Franklin Inst.,2010

5. Modified Weibull distribution;Sarhan;APPS. Appl. Sci.,2009

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A modified cosine-based probability distribution: Its mathematical features with statistical modeling in sports and reliability prospects;Alexandria Engineering Journal;2024-12

2. Adopting a new sine-induced statistical model and deep learning methods for the empirical exploration of the music and reliability data;Alexandria Engineering Journal;2024-10

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