asymptotic efficiency
- asymptotic efficiency的基本解释
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渐近效率
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Contrary to popular kernel regression methods, it has many advantages, such as: higher efficiency and stronger asymptotic adaptation design capacity.
与流行的核回归方法相比,它有诸多优点,诸如:较高的渐近效率和较强的适应设计能力。
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Finally, we give some conjectures which could be used to obtain the closed-form expression for the asymptotic construction efficiency.
最后我们提出一些猜测可用来获得渐近建造效率的数学表示式。
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The strong consistency, asymptotic normality and asymptotic efficiency of these methods are proved.
我们研究了这些方法的强相合性,渐近正态性和渐近有效性。
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Large sample theory including: consistency, efficiency, asymptotic normality and applications.
大样本理论:一致性,有效性和渐进正态性及其应用。
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When we look at input sizes large enough to make only the order of growth of the running time relevant, we are studying the asymptotic efficiency of algorithms.
当投入规模大到足够确定相关命令运行时间的情况下,我们应该学习渐进效率算法。
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Asymptotic efficiency:渐近效率
Asymptotic bias, 渐近偏倚 | Asymptotic efficiency, 渐近效率 | Asymptotic variance, 渐近方差
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Asymptotic efficiency:漸近有效性
Asymptotic distribution 渐近分配;极限分配 | Asymptotic efficiency 渐近有效性 | Asymptotic expansion 渐近扩展
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Asymptotic efficiency:渐进有效
渐近性质:asymptotic behavior | 渐进有效:asymptotic efficiency | 渐进无效:asymptotic inefficiency
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Cramer asymptotic efficiency:克拉默渐近效率
克拉默法则|Cramer rule | 克拉默渐近效率|Cramer asymptotic efficiency | 克莱罗微分方程|Clairaut differential equation
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local asymptotic efficiency:局部渐近有效性
局部渐近可容性 local asymptotic admissibility | 局部渐近有效性 local asymptotic efficiency | 局部统计量 local statistic
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