2) asymptotic optimality
渐近最优性
1.
Also,a simulation experiment is conducted to demonstrate the asymptotic optimality of the Bayes EB estimator.
我们采用贝叶斯经验贝叶斯方法估计了一个特殊的指数分布族中的刻度参数,证明了刻度参数的贝叶斯经验贝叶斯估计几乎处处收敛到它的贝叶斯估计且获得了它的渐近最优性。
2.
The Bahadur representation of the estimator are given and the asymptotic optimality for L2- cross-validated nearest neighbor median estimator are established under the mild conditions.
在一定的正则性条件下得到了L2-cross-validation最近邻中位数估计的渐近最优性。
3.
There have been a lot of researches about the asymptotic optimality theory,but all of them are based on the Biihlmann-Straub model and quadratic loss function;In this paper, the author will discuss the linear empirical Bayes premiumunder quadratic loss function, balance loss function, entropy~1 loss function and entropy~2 loss function in a general Biihlmann-Straub model.
传统的关于线性经验贝叶斯保费的渐近最优性研究都是在B(u|¨)hlmann-Sraub模型及平方损失函数下讨论的，然而在某些情况下广义B(u|¨)hlmann-Straub模型和非对称损失函数能更好的刻画衡量风险。
4) optimum asymptotic order
最优渐近阶
5) asymptotically optimal strategy
渐近最优策略
1.
environments with two states, an optimal strategy mathematic model is set up, in which birds opposite the random environments by the distribution of clutch-sizes, and as the number of initial birds increasing the asymptotically optimal strategy is given.
在一种两状态独立同分布的随机环境下,建立了鸟类以不同产蛋数的分布对抗随机环境的优化决策数学模型,并给出了当初始鸟数增加时,鸟类繁衍的渐近最优策略。
6) Asymptotically optimal analysis
渐近最优分析
补充资料：渐近公式
渐近公式
asymptotic formula
渐近公式}朋yolp肠cl栩.lula二~Irror~绷如甲My月a} 包含符号。，O或等价记号一(函数的渐近相等(as，mPtotiee甲ality))的公式 渐近公式的例f 牡n一丫二一x十口(义舌%*0、 )5戈l+‘)(义‘)，、。0;茸、十芜川、一丫’℃一，关二 “(一‘，一下:_于“一笑(7r以)是不超过二的素数的个数，. ‘M，B因脚月撰【补注】关于符号。O和一的意义，例如见阵11或!AZ}.
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条