arbiter
JournalsAccount

Stochastic Ordering Results Between Two Finite α‐Mixture Models With Resilience‐Scaled Components

Supriya Sahoo et al.

Applied Stochastic Models in Business and Industry2026https://doi.org/10.1002/asmb.70089article
ABDC B
Weight
0.50

Abstract

In this work, we consider two finite ‐mixture models with resilience‐scale distribution components, and then obtain sufficient conditions to establish some stochastic ordering results between them. The sufficient conditions mainly depend on the weak supermajorization, weak submajorization, chain majorization and reciprocal majorization orders. Some of the findings in this paper improve the results in the literature by extending the range of the parameter Examples are provided to illustrate the ordering outputs. In addition, some counterexamples are presented to show that the established results may not be true if the proposed conditions do not hold.

Open via your library →

Cite this paper

https://doi.org/https://doi.org/10.1002/asmb.70089

Or copy a formatted citation

@article{supriya2026,
  title        = {{Stochastic Ordering Results Between Two Finite α‐Mixture Models With Resilience‐Scaled Components}},
  author       = {Supriya Sahoo et al.},
  journal      = {Applied Stochastic Models in Business and Industry},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1002/asmb.70089},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

Stochastic Ordering Results Between Two Finite α‐Mixture Models With Resilience‐Scaled Components

Flags are reviewed by the Arbiter methodology team within 5 business days.

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

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.