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asymptotic efficiency相关的网络例句

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与 asymptotic efficiency 相关的网络例句 [注:此内容来源于网络,仅供参考]

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。

First, in the construction asymptotic expansions, it does not need to perturbations of the structure so special series of assumptions, or the need for a asymptotic matching, but generated its own approaches applicable to the asymptotic series.

首先,在构造渐近展式时,它不需要对摄动序列的结构做特别的假设,也不需要使用渐近匹配,而是生成自己的适用于问题的渐近序列。

In.Chapters7-8, when the conditions for the exponential estimate are not satisfied, a local asymptotic estimate and a tail asymptotic estimate for the distributions of ladder height and supremum for the random walk are derived and non-exponential asymptotic forms for solutions of defectiverenewal equations are obtained.

在第七、八章中,首先给出了随机游动阶梯高度及极大值的局部估计和尾估计以及一瑕疵更新方程解的渐近估计,然后将结果应用到风险理论中,得到了一些新结论。

We discuss asymptotically best linear unbiased estimators of the Logistic population based on selected order statistics and give the formula of computing the ABLUE, the variance and the covariance of the ABLUE in limit, and properties of the ABLUE, and so on. We give the optimum chosen of spacing which is the ABLUE with maximum asymptotic relative efficiency based on complete sample when selected order statistics number is less than 10, and obtain its maximum asymptotic relative efficiency.

讨论基于Logistic总体Ⅱ型截尾样本的若干个样本分位数的总体分布参数的近似最佳线性无偏估计;给出了该近似最佳线性无偏估计的计算公式,估计方差与协方差的极限表达式及估计量的大样本性质等;给出了全样本,样本分位点个数固定,但不超过10情形下,使上述近似最佳线性无偏估计有最大相对联合估计效率时,样本分位数选取法及最大相对联合估计效率;为大样本情形下,该近似最佳线性无偏估计的应用提供了理论依据。

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。

In the seedlings time, the content of chlorophyll decreased by the deficiency of B, but the content of chlorophyll in the high efficiency cultivar decreased slowly than that of the low efficiency cultivar. This suggested that the leaves of the high efficiency cultivar can capture more light energy and the photosynthetic rate of the high efficiency cultivar decreased slowly. In the bolting time and blooming time, after two weeks of B deficiency treatment, the content of chlorophyll in the top leaves of the high efficiency cultivar decreased, and in the late time, the content of chlorophyll decreased slowly. But, the content of chlorophyll in the bellow leaves of the two cultivars had little changes. The reason may be that B in the high efficiency cultivar distributed to the propagative organ in the late growth, and the leaves were short of B.

苗期,缺硼导致甘蓝型油菜色素含量降低,且高效品种色素含量下降的幅度小于低效品种,表明营养生长阶段,同等程度的缺硼条件下,高效品种叶片对光能的收集能力以及光合速率下降的程度相对较小;苔期和花期,在两周的缺硼处理后,高效品种上部叶色素含量依然呈下降趋势,但随着生育期的推移,其下降幅度减小;而高效品种下部叶和低效品种叶片含量变化不大,可能是甘蓝型油菜进入生殖生长阶段后,高效品种将硼更多地分配到繁殖器官,而其叶片却承受了相对较大的缺硼胁迫。

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。

Throughout comparing the above estimating methods, we have the following results: the estimators of the moments of the errors does not depend on the random effects, and that of the random effects does not depend on the errors, and then the corresponding asymptotic variances are very simple and optimal; when the random effects are multivariate, we can not construct different estimating equations for the random effects and errors respectively, which results that the asymptotic covariances of estimation are very complex and then the estimating efficiency is bad.

比较上述两种估计法,我们发现:当随机效应是一维的时侯,误差的各阶矩的估计不依赖不可观测的随机效应,随机效应的估计也不依赖误差,因此,估计的渐近方差结构特别简单也是最优的;而当随机效应是多维的,因为随机效应的协变量的影响,我们没有办法针对随机效应和误差的各阶矩分别建立估计方程,这导致所得的估计的渐近方差或者协方差矩阵特别复杂,从而估计的效果不是很好。

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论文详细研究了非圆零件的成型方法和加工过程中刀架的径向运动规律。

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