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September 10, 2025European Journal of Pure and Applied MathematicsOpen Access

Length-Biased Discretized Fréchet-Weibull Probability Distribution: Mathematical Theory, Simulation Analysis, and Goodness-of-Fit Evaluation Using Real-Life Data

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Authors

DDDiksha DasMAMohamed F AboueleneinBDBhanita Das

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Overview

New length-biased Fréchet-Weibull model effectively captures diverse hazard rates, highlighting flexibility in real-life data applications.

Key Points

  • The new model exhibits flexibility in representing various hazard rates, making it applicable to diverse data types.
  • Parameter estimation utilizes maximum likelihood estimation to ensure reliable and efficient results across scenarios.
  • Simulation analysis validates the model's robustness, demonstrating superior fit compared to established alternatives.
  • The approach addresses intricate data characteristics such as overdispersion and asymmetric behaviors common in areas like insurance.

Cite This Study

Das et al. (2025) studied this question.

synapsesocial.com/papers/68c1a77a54b1d3bfb60e0c0ahttps://doi.org/10.29020/nybg.ejpam.v18i3.6382
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