查询词典 asymptotic efficiency

Firstly, the multi-user detector that relatively integrity in theory and proximal to optimal multi-user detector is discussed and Decor elating Detector, Minimum Mean Square Error Detector, Optimal linear Detector together with the multi-capability indexes output energy, SNR, bit error rate, asymptotic efficiency, convergence etc.

本文首先对理论上及性能上接近最佳多用户检测的次最佳多用户检测进行理论研究，计算并分析了解相关检测器、最小均方误差检测器、最佳线性检测器的性能指标(输出能量、信噪比、渐近有效性、误码率以及收敛特性等)。

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。

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。

They also pointed out some asymptotic properties of the sequential estimation, such as asymptotic consistency, that is P ,and asymptotic efficiency, that is .

最近，A.Dmitrienko(2000)在构造极大似然估计的序贯置信区域时，提出了一个新的渐近性质：未知代价的有界性，即这是一个很值得考虑的渐近性质。

Time relevant, we are studying the asymptotic efficiency of algorithms. That is, we arethe limit, as the size of the input increases without bound. Usually, an algorithm that is

即，当输入大小的增加没有限制，我们就要考虑怎样计算运行时间的增长变化，就像输入大小有限制的时候那样。

We show that our estimator achieves the same asymptotic efficiency as Lin and Carroll's estimator, but performs better in finite samples.

估计量达到了与Lin和Carroll的估计量相同的渐近有效性，且在有限样本情形下表现更好。

A MMSE multiuser detector alleviating edge effect with low complexity is proposed and its asymptotic efficiency,"near-far" resistance and computational complexity are qualitatively analyzed.

该检测器缓解了异步系统因截断处理而受到边缘数据的影响，在抑制多址干扰以及背景噪声上获得了优异的性能折中。

Limit theorems, asymptotic methods, asymptotic efficiency and efficiency bounds for estimation, maximum likelihood estimation, Bayes methods, asymptotics via derivatives of functionals, sample-based estimates of variability:; robustness; estimation for dependent data, nonparametric estimation and testing.

高级统计推断理论：极限理论，渐进方法，渐进有效和估计的效率，加大似然估计，贝叶斯方法，泛函数的微商渐进性，基于样本的估计：(bootstrap 和 jackknife方法)；稳健性；独立数据的估计，非参数估计和经验。

Limit theorems, asymptotic methods, asymptotic efficiency and efficiency bounds for estimation, maximum likelihood estimation, Bayes methods, asymptotics via derivatives of functionals, sample-based estimates of variability:; robustness; estimation for dependent data, nonparametric

高级统计推断理论：极限理论，渐进方法，渐进有效和估计的效率，加大似然估计，贝叶斯方法，泛函数的微商渐进性，基于样本的估计：（bootstrap 和 jackknife方法）；稳健性；独立数据的估计，非参数估计和经验。

STAT 581 Advanced Theory of Statistical Inference (3) Limit theorems, asymptotic methods, asymptotic efficiency and efficiency bounds for estimation, maximum likelihood estimation, Bayes methods, asymptotics via derivatives of functionals, sample-based estimates of variability:; robustness; estimation for dependent data, nonparametric estimation and testing.

高级统计推断理论：极限理论，渐进方法，渐进有效和估计的效率，加大似然估高级统计推断理论：计，贝叶斯方法，泛函数的微商渐进性，基于样本的估计：(bootstrap 和 jackknife 方法)；稳健性；独立数据的估计，非参数估计和经验。

The split between the two groups can hardly be papered over.

这两个团体间的分歧难以掩饰。

This approach not only encourages a greater number of responses, but minimizes the likelihood of stale groupthink.

这种做法不仅鼓励了更多的反应，而且减少跟风的可能性。