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A new probabilistic model: Its implementations to the reliability products and art tools

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  • معلومة اضافية
    • بيانات النشر:
      Elsevier, 2024.
    • الموضوع:
      2024
    • Collection:
      LCC:Engineering (General). Civil engineering (General)
    • نبذة مختصرة :
      This article delves into the critical role that probability-focused methodologies play in the fields of reliability sciences and the arts, ultimately leading to the introduction of a novel statistical model known as the new cosine exponentiated exponential (NCE-exponential) distribution. This model is a synthesis of the well-established exponentiated exponential distribution and a cosine-based probabilistic framework, which together offer a more versatile tool for statistical analysis. The research presented in this article meticulously explores the mathematical properties of the NCE-exponential distribution, with a particular emphasis on its quartile features. In addition to theoretical exploration, the article discusses point estimators for the unknown parameters of the NCE-exponential model. A simulation study, which serves to validate the effectiveness of the model estimators, is also provided. Furthermore, the article highlights practical applications of the NCE-exponential distribution in both reliability sciences and the arts. By leveraging four fundamental evaluation tools, it is clear that the NCE-exponential distribution achieves a superior fit when contrasted with adversarial distributions. The findings of this research suggest that the NCE-exponential distribution not only enhances the toolkit available for statisticians and researchers but also expands the range of probability distributions that can be employed for real-world statistical analysis.
    • File Description:
      electronic resource
    • ISSN:
      1110-0168
    • Relation:
      http://www.sciencedirect.com/science/article/pii/S1110016824009979; https://doaj.org/toc/1110-0168
    • الرقم المعرف:
      10.1016/j.aej.2024.08.099
    • الرقم المعرف:
      edsdoj.725e2b9a4ec042148cd4d8c44d27808c