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This article is cited in 2 scientific papers (total in 2 papers)
Short Communications
Asymptotically dominating estimation of expectation value vectors
V. I. Serdobol'skii Moscow State Institute of Electronics and Mathematics
Abstract:
The problem of quadratic risk minimization is solved for the componentwise shrinkage estimation of expectation value vectors for normal vectors with independent components and unit variance. An unimprovable shrinkage function is found, and a shrinkage estimator of the expectation value vector is constructed unimprovable with accuracy to terms that are small for large dimension and large sample size.
Keywords:
shrinkage estimator, dominating estimators, large dimension.
Received: 23.01.1992 Revised: 01.07.1997
Citation:
V. I. Serdobol'skii, “Asymptotically dominating estimation of expectation value vectors”, Teor. Veroyatnost. i Primenen., 44:1 (1999), 132–138; Theory Probab. Appl., 44:1 (2000), 124–130
Linking options:
https://www.mathnet.ru/eng/tvp606https://doi.org/10.4213/tvp606 https://www.mathnet.ru/eng/tvp/v44/i1/p132
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Abstract page: | 211 | Full-text PDF : | 159 | First page: | 9 |
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