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

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題名:	ASYMPTOTIC CONSISTENCY OF THE MAXIMUM-LIKELIHOOD ESTIMATE IN POSITRON EMISSION TOMOGRAPHY AND APPLICATIONS
作者:	CHANG,IS;HSIUNG,CA
貢獻者:	數學研究所
關鍵詞:	SIEVES;MODEL
日期:	1994
上傳時間:	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
顯示於類別:	[數學研究所] 期刊論文

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