September 28, 2025Open Access

Asymptotic breakdown point analysis of the minimum density power divergence estimator under independent non-homogeneous setups

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The estimated asymptotic breakdown point indicates the robustness of the method in independent non-homogeneous setups.
Theoretical analysis provides a lower bound for the asymptotic breakdown point under specific assumptions.
Robustness properties are demonstrated through applications in fixed design regression models.
Extensive simulations affirm the estimator's reliability and efficiency across various scenarios.

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Implication

Asymptotic breakdown point reveals global reliability of minimum density power divergence estimator under non-homogeneous setups, suggesting robust applications in regression models.

Cite This Study

Jana et al. (2025) studied this question.

synapsesocial.com/papers/68d913a34ddcf71ba560b7c0 https://doi.org/10.48550/arxiv.2508.12426

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Implication

Asymptotic breakdown point reveals global reliability of minimum density power divergence estimator under non-homogeneous setups, suggesting robust applications in regression models.

Asymptotic breakdown point analysis of the minimum density power divergence estimator under independent non-homogeneous setups

Key Points

Discussion

Implication

Cite This Study

Asymptotic breakdown point analysis of the minimum density power divergence estimator under independent non-homogeneous setups

Key Points

Discussion

Implication

Cite This Study

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