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SS-PALT for Logistic-Exponential Distribution with Adaptive Type-I Progressively Hybrid Censored Data

Faten A. Momenkhan

Journal of Statistical Theory and Applications2026https://doi.org/10.1007/s44199-025-00151-warticle
ABDC C
Weight
0.50

What the paper says

This study investigates the application of adaptive Type-I progressive hybrid censoring techniques for the estimation of failure times in step-stress partially accelerated life tests. We employ a Logistic-Exponential distribution to model the lifetimes of the test units and derive the maximum likelihood estimators for both the model parameters and the acceleration factor. Furthermore, we introduce an adaptive Type-I hybrid progressive censoring scheme to enhance the robustness of our analysis. To assess and compare the efficacy of the estimators under various hybrid censoring scenarios, we conduct a comprehensive Monte Carlo simulation study. Performance metrics, including mean squared error and bias, are utilized to facilitate a rigorous comparison of the estimators’ effectiveness.

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https://doi.org/https://doi.org/10.1007/s44199-025-00151-w

Or copy a formatted citation

@article{faten2026,
  title        = {{SS-PALT for Logistic-Exponential Distribution with Adaptive Type-I Progressively Hybrid Censored Data}},
  author       = {Faten A. Momenkhan},
  journal      = {Journal of Statistical Theory and Applications},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1007/s44199-025-00151-w},
}

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SS-PALT for Logistic-Exponential Distribution with Adaptive Type-I Progressively Hybrid Censored Data

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

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