most citedModel Uncertainty and Selection of Risk Models for Left-Truncated and Right-Censored Loss Data

1 citations · 1 across the 2 of their papers we have counts for

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2 papers

stat.ME2025

Robust and Computationally Efficient Trimmed L-Moments Estimation for Parametric Distributions

Chudamani Poudyal, Qian Zhao, Hari Sitaula

This paper proposes a robust and computationally efficient estimation framework for fitting parametric distributions based on trimmed L-moments. Trimmed L-moments extend classical…

stat.ME2024★ 1 cited

Model Uncertainty and Selection of Risk Models for Left-Truncated and Right-Censored Loss Data

Qian Zhao, Sahadeb Upretee, Daoping Yu

Insurance loss data are usually in the form of left-truncation and right-censoring due to deductibles and policy limits respectively. This paper investigates the model uncertainty…