Estimation After Selection Under Reflected Normal Loss Function |
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Authors: | M. Naghizadeh Qomi A. Parsian |
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Affiliation: | 1. Department of Statistics , Tarbiat Modares University , Tehran , Iran;2. School of Mathematics, Statistics and Computer Science , Tehran , Iran |
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Abstract: | Let X 1 and X 2 be two independent random variables from normal populations Π1, Π2 with different unknown location parameters θ1 and θ2, respectively and common known scale parameter σ. Let X (2) = max (X 1, X 2) and X (1) = min (X 1, X 2). We consider the problem of estimating the location parameter θ M (or θ J ) of the selected population under the reflected normal loss function. We obtain minimax estimators of θ M and θ J . Also, we provide sufficient conditions for the inadmissibility of invariant estimators of θ M and θ J . |
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Keywords: | Estimation after selection Inadmissible estimators Minimax estimators Normal distribution Reflected normal loss function |
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