Scientific Reports (Nov 2023)

Truncated Weibull–exponential distribution: methods and applications

  • Salman Abbas,
  • Muhammad Farooq,
  • Jumanah Ahmed Darwish,
  • Saman Hanif Shahbaz,
  • Muhammad Qaiser Shahbaz

DOI
https://doi.org/10.1038/s41598-023-48288-x
Journal volume & issue
Vol. 13, no. 1
pp. 1 – 11

Abstract

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Abstract This paper introduces a truncated Weibull-exponential distribution and provides a thorough insight into its mathematical characteristics. These characteristics include moments, generating functions, inverse distribution function, and entropy. Various measures are also discussed about the distribution's reliability. A simulation study is carried out to assess the stability and consistency of the maximum likelihood estimates of the parameters. Finally, two social sciences data sets are used to assess the distribution's relevance in modeling real-world situations.