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Novel closed-form point estimators for a weighted exponential family derived from likelihood equations (2405.16192v1)
Published 25 May 2024 in stat.ME
Abstract: In this paper, we propose and investigate closed-form point estimators for a weighted exponential family. We also develop a bias-reduced version of these proposed closed-form estimators through bootstrap methods. Estimators are assessed using a Monte Carlo simulation, revealing favorable results for the proposed bootstrap bias-reduced estimators.
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