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Abstract:
考虑在纵向数据情况下不会导致风险显著增加的最高剂量的估计问题.基于AIC(Akaike Information Criterion)的思想提出了一个新的估计方法,证明了该估计的强相合性,并通过模拟的结果说明了其对于中小样本的优良性.
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高校应用数学学报A辑
ISSN: 1000-4424
Year: 2006
Issue: 3
Volume: 21
Page: 293-300
Cited Count:
WoS CC Cited Count: 0
SCOPUS Cited Count:
ESI Highly Cited Papers on the List: 0 Unfold All
WanFang Cited Count: -1
Chinese Cited Count:
30 Days PV: 5
Affiliated Colleges: