ASYMPTOTIC CONSISTENCY OF THE MAXIMUM-LIKELIHOOD ESTIMATE IN POSITRON EMISSION TOMOGRAPHY AND APPLICATIONS

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题名:	ASYMPTOTIC CONSISTENCY OF THE MAXIMUM-LIKELIHOOD ESTIMATE IN POSITRON EMISSION TOMOGRAPHY AND APPLICATIONS
作者:	CHANG,IS;HSIUNG,CA
贡献者:	數學研究所
关键词:	SIEVES;MODEL
日期:	1994
上传时间:	2010-06-29 19:40:50 (UTC+8)
出版者:	中央大學
摘要:	This paper indicates that a minor modification of the maximum likelihood estimate of Vardi, Shepp and Kaufman can be regarded as a step in the standard nonparametric MLE by the method of sieves and establishes the asymptotic consistency for it. This method of sieves suggests that the number of pixels needs to be in line with the number of detectors in order to avoid poor image reconstructions. a simulation study is also presented to support this suggestion.
關聯:	ANNALS OF STATISTICS
显示于类别:	[數學研究所] 期刊論文

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