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INNOVATIVE DESIGN AND ANALYSIS OF RATIO-TYPE ESTIMATORS FOR IMPRECISE ENERGY DISSIPATION DATA: A NEUTROSOPHIC APPROACH WITH PROPERTIES

Ansar Ali Faraz et al.

Advances and Applications in Statistics2026https://doi.org/10.17654/0972361726005article
ABDC C
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0.50

What the paper says

Classical statistics proves inadequate when handling unclear or ambiguous data, making neutrosophic statistics an essential alternative for managing uncertainty. This study develops novel neutrosophic ratio-type estimators utilizing properties of random variables, specifically designed for ambiguous and imprecise datasets. Unlike traditional single-valued estimates, these estimators provide interval-based population parameters, offering a more realistic representation of the unknown population mean while minimizing mean square error. The proposed methodology addresses the critical challenge of estimating population means when data exhibits indeterminacy and vagueness. Performance evaluation employs both simulation studies and real-life neutrosophic line losses data, with all computational analyses conducted using R language software. The findings demonstrate that the proposed neutrosophic ratio-type estimators consistently outperform existing classical and neutrosophic estimators, achieving superior results with significantly lower mean square error values and higher relative efficiency, particularly when applied to energy dissipation data characterized by imprecision and uncertainty.

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https://doi.org/https://doi.org/10.17654/0972361726005

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@article{ansar2026,
  title        = {{INNOVATIVE DESIGN AND ANALYSIS OF RATIO-TYPE ESTIMATORS FOR IMPRECISE ENERGY DISSIPATION DATA: A NEUTROSOPHIC APPROACH WITH PROPERTIES}},
  author       = {Ansar Ali Faraz et al.},
  journal      = {Advances and Applications in Statistics},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.17654/0972361726005},
}

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INNOVATIVE DESIGN AND ANALYSIS OF RATIO-TYPE ESTIMATORS FOR IMPRECISE ENERGY DISSIPATION DATA: A NEUTROSOPHIC APPROACH WITH PROPERTIES

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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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