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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/76463

    Title: Robust estimation of Known Signals
    Other Titles: 已知信號的強化估量
    Authors: 林嘉勳;Lin, Chia-shiun;詹益光;Jan, Yih-guang
    Contributors: 淡江大學電機工程學系
    Keywords: 已知信號
    Date: 1979-09
    Issue Date: 2013-07-11 11:57:35 (UTC+8)
    Publisher: Taipei : Chinese Institute of Chemical Engineers
    Abstract: Two kinds of iterative estimators, based on Robbins‐Monro stochastic approximation algorithms, are investigated. It has been shown that, under a set of sufficient conditions, the estimators are robust over a known class of distributions in asymptotically min‐max sense.For illustration, we have examined the robust estimators for the ?‐normal family of distributions. Numerical and simulation results show that, for both large and small sample sizes, the robust estimators are more efficient than the sample mean estimator for those nearly Gaussian distributions.
    Relation: Journal of the Chinese Institute of Engineers=中國工程學刊 2(2), pp.105-113
    DOI: 10.1080/02533839.1979.9676635
    Appears in Collections:[電機工程學系暨研究所] 期刊論文

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