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Empirical Bayes estimation of the truncation parameter with asymmetric loss function using NA samples

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Abstract

We construct the empirical Bayes (EB)estimation of the parameter in two-side truncated distribution families with asymmetric Linex loss using negatively associated (NA) samples. The asymptotical optimality and convergence rate of the EB estimation is obtained. We will show that the convergence rate can be arbitrarily close toO(n −q),qs(δ−2)/δ(s+2).

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Correspondence to Yimin Shi.

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Supported by the Natural Science Foundation of the Education Department of Shaanxi Province (No. 03JK065)

Yimin Shi received his M. Sc in statistics from Northwestern Polytechnical University (NPU). He is a professor in applied Mathematics at NPU, his research interests include applied probability statistics, Reliability theory, Bayes analysis and inference.

Xiaolin Shi is a graduated student at NPU. Her research interests focus on signal processing, computer simulation.

Shesheng Gao received his M. Sc in 1993 and doctor degress in 1999 from NPU. He is a associate professor in automatic school at NPU. His research interests focus on control theory and control enginneering, intelligence information fusion theory and application.

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Shi, Y., Shi, X. & Gao, S. Empirical Bayes estimation of the truncation parameter with asymmetric loss function using NA samples. JAMC 14, 305–317 (2004). https://doi.org/10.1007/BF02936116

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  • DOI: https://doi.org/10.1007/BF02936116

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