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经验似然重抽样下回归模型的Bootstrap逼近
石坚
1997
Source Publication应用概率统计
ISSN1001-4268
Volume013Issue:001Pages:37
Abstract本文提出用经验似然重抽样来bootstrap逼近线性回归模型中的学生化最小二乘估计,证明了该方法具有一般s-2项Edgeworth展开,它是二阶相合的而且比经 方法损失更小。
Language英语
Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/37050
Collection系统科学研究所
Affiliation中国科学院数学与系统科学研究院
Recommended Citation
GB/T 7714
石坚. 经验似然重抽样下回归模型的Bootstrap逼近[J]. 应用概率统计,1997,013(001):37.
APA 石坚.(1997).经验似然重抽样下回归模型的Bootstrap逼近.应用概率统计,013(001),37.
MLA 石坚."经验似然重抽样下回归模型的Bootstrap逼近".应用概率统计 013.001(1997):37.
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