Abstract
Estimation of the quantile μ + κσ of an exponential distribution with parameters (μ, σ) is considered under an arbitrary strictly convex loss function. For κ obeying a certain condition, the inadmissibility of the best affine equivariant procedure is established by exhibiting a better estimator. The LINEX loss is studied in detail. For quadratic loss, sufficient conditions are given for a scale equivariant estimator to dominate the best affine equivariant one and, when κ exceeds a lower bound specified below, a new minimax estimator is identified.
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Petropoulos, C., Kourouklis, S. Estimation of an Exponential Quantile under a General Loss and an Alternative Estimator under Quadratic Loss. Annals of the Institute of Statistical Mathematics 53, 746–759 (2001). https://doi.org/10.1023/A:1014648819462
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DOI: https://doi.org/10.1023/A:1014648819462