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1)  asymptotic minimax efficiency
渐近minimax有效
1.
In this paper the MLE of θ,say θ^\-n,from randomly censored data is pr oved to be asymptotic minimax efficiency.
本文证明基于随机删失观察的参数θ的MLEθ^n 是渐近minimax有效的 ,即对某损失函数W (·) ,limδ→ 0 limn→∞ sup|θ′-θ|<δE(n)θ′ {w[- 1(n) (θ^n-θ) ]} =Ew(ξ) ,其中 ,L(ξ) =N(0 ,1) ,p(n) =(nI|θ|) - 12 ,I(θ)是删失观察的信息函数。
2)  asymptotically efficient
渐近有效
3)  asymptotic efficiency
渐近有效性
1.
We also discussed some of its asymptotic properties, such as asymptotic consistency, asymptotic efficiency and cost of ignorance, under some certain assumptions.
并讨论了在一定条件下,当d→0,它的渐近相合性、渐近有效性及有界的最优费用差(EN(d)-n(d))等渐近性质。
2.
Some of its asymptotic properties, such as asymptotic consistency, asymptotic efficiency and cost of ignorance under certain conditions, are also discussed.
并讨论了在一定条件下,当d→0时,估计的渐近相合性、渐近有效性及有界的最优费用差(EN(d)?n(d))等渐近性质。
4)  effectively asymptotic solutions
有效渐近解
5)  asymptotic risk efficient
渐近风险有效
6)  Bahadur efficiency
Bahadur渐近有效估计
1.
Based on some smooth conditions, the Bahadur bound for this distribution family is derived, and a definition of Bahadur efficiency is proposed.
基于一定的光滑性假设,得到了这种双边截断分布族的Bahadur界,并因此给出了该分布族中相合估计为Bahadur渐近有效估计的定义。
补充资料:渐近公式


渐近公式
asymptotic formula

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