Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
September 10, 2025AIP AdvancesOpen Access

Analysis of entropy and Fisher information for the new X-Lindley model with applications to failure data

View Full Paper
Ask AI
Bookmark
Share

Authors

IHI. A. HusseinyHigher Technological InstituteFAFatimah M. AlghamdiPrincess Nourah bint Abdulrahman UniversityGAGamal A. Abd-ElmougodDamanhour University

Discussion

Loading...

Member takes

Implication

This analysis explores Fisher information and Shannon entropy in the X-Lindley model, demonstrating its effectiveness in failure data applications.

Key Points

  • The study shows that the NXLID effectively models lifetime data, enhancing reliability assessment.
  • Simulation results revealed that the proposed estimators have low bias and reduced mean squared error for failure data.
  • Analytical expressions for entropic measures provide critical insights into the behavior of the X-Lindley model in practical applications.
  • Investigating order statistics reveals significant variability and distributional properties relevant to decision-making in reliability contexts.

Cite This Study

Husseiny et al. (2025) studied this question.

synapsesocial.com/papers/68c1b81f54b1d3bfb60ec551https://doi.org/10.1063/5.0284969
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 4 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1On the mathematical foundations of theoretical statistics1922 · 4,085 citations
  2. 2The Inverse XLindley Distribution: Properties and Application2023 · 31 citations
  3. 3A Mathematical Theory of Communication1948 · 82,903 citations
  4. 4The xgamma Distribution: Statistical Properties and Application2016 · 123 citations