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Computation of error spectrum for estimation performance evaluation

  • University of New Orleans

科研成果: 书/报告/会议事项章节会议稿件同行评审

9 引用 (Scopus)

摘要

The error spectrum (ES) of an estimator was proposed as a measure for evaluation of estimation performance. In this paper, we examine the conditions that ES has a positive finite value, which is equivalent to requiring the existence of a finite rth (r is a real number) moment of a non-negative random variable. Different conditions for this existence problem are presented. Further, methods to analytically evaluate ES are elaborated. A clear connection between ES and the Mellin transform provides a means to compute ES analytically. Fractional integration/derivative of the moment generating function of the estimation error can also achieve analytical solutions. ES of the chi distribution, Gamma distribution, Weibull distribution, and Beta distribution are computed to illustrate our methods.

源语言英语
主期刊名Proceedings of the 16th International Conference on Information Fusion, FUSION 2013
477-483
页数7
出版状态已出版 - 2013
已对外发布
活动16th International Conference of Information Fusion, FUSION 2013 - Istanbul, 土耳其
期限: 9 7月 201312 7月 2013

出版系列

姓名Proceedings of the 16th International Conference on Information Fusion, FUSION 2013

会议

会议16th International Conference of Information Fusion, FUSION 2013
国家/地区土耳其
Istanbul
时期9/07/1312/07/13

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