基本释义:

渐近正态分布

网络释义

1)asymptotic normal distribution,渐近正态分布

2)Asymptotic normality,渐近正态分布

3)normal asymptotic distribution,正态渐近分布

4)uniformly asymptotic normality,一致渐近正态分布

5)asymptotically normally distributed,渐近正规分布的

6)asymptotic normality,渐近正态

用法和例句

Based on Kullback-Leibler distance, this paper gives conditions under which a matrix-Γ distribution is uniformly asymptotic normality.

相对于两个密度函数之间的Kullback-Leibler距离,本文获得了矩阵Γ分布一致渐近正态分布的条件,由于矩阵Γ分布包含了Wishart分布,因此我们也指出了 Wishart分布一致渐近正态分布的条件。

The definition of uniformly asymptotic normal distribution of unirariate distribution is given,and uniformly asymptotic normality of x~2-distribution,uniformly t-distribution and uniformly F-distribution is demenstrated,because the result is better than asymptotic normality,is seems to reditable to use relevant normal distribution for calculating the probability of these three distribution.

首先给出一元分布一致渐近正态分布的定义,接着分别证明了x2分布、一元t分布和一元F分布的一致渐近正态性,由于所得结果比渐近正态性更强,故直接用相应的正态分布去计算这三个分布的概率值更可信。

Random weighted approximation to statistics admitting asymptotic normality;

一类具有渐近正态的统计量的随机加权逼近

Under some weak conditions, the strong consistency and asymptotic normality of the SINR are obtained.

在很弱的条件下,当用户的个数和扩频因子都趋近无穷大,而它们的比保持不变时,信干比的强相合性,渐近正态等结果被证明。

It is proved that the statistics is asymptotic normality,and simulation of the statistics′s asymptotic distribution is carried out with Monte Carlo method.

证明了此统计量是渐近正态的,并利用蒙特卡罗方法对统计量的渐进分布做了统计模拟。

The Necessary and Sufficient Conditions for Some Kinds of Pickands Estimators Asymptotic Normality;

几类Pickands估计量渐近正态分布之充要条件

Asymptotic Distribution of the Product of Strong Mixing Sums

强混合序列部分和乘积的渐近正态性

The tracer is distributed in a nearly normal fashion.

示踪剂的分布接近正态分布的样式。

asymptotically normal and unbiased estimator

渐近正态无偏估计量

consistent asymptotically normal estimator

相容渐近正态估计量

Asymptotic Normality of Partitioning Estimatior of Regression Function under Dependence Sample

相依样本下回归函数分割估计的渐近正态性

The Improved Formula About Approximate Calculation by Normal Distribution;

用正态分布进行近似计算公式的改进

Some Approximate Properties of Normally Distributed Gauss-Weierstrass Operators

正态分布型的Gauss-Weierstrass算子的逼近性质

regular best asymptotically normal estimator

正则最佳渐近正态估计量

ASYMPTOTIC NORMALITY OF A CLASS OF ESTIMATORS IN PARTIAL LINEAR MODEL UNDER ERROR BEING MARTINGALE DIFFERENCE SEQUENCE;

误差为鞅差序列的部分线性模型中估计的渐近正态性

Asymptotic normality of partitioning estimates for the nonparametric regression function under censored samples

截尾样本下非参数回归函数基于分割估计的渐近正态性

Asymptotic Normality of Sample Correlation Coefficient of a Bivariate Normal Distribution

二元正态总体样本相关系数的渐近正态性

consistent uniformly asymptotically normal estimator

相容一致渐近正态估计量

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.

To this end, some mild regularity conditions are imposed and an asymptotic distribution theory is established for modified statistic.

在适当的正则条件下，对修正的经验似然比统计量给出了渐近分布理论。

The Asymptotic Stability of a Kind of Linear Distributed Parameter Problems;

一类线性分布参数问题的渐近稳定性

Asymptotic distribution and application of estimation of the location parameter on uniform distribution

均匀分布位置参数的估计量的渐近分布及应用

Asymptotic Behavior of a RegularSturm-Liouville Problem

一类正则Sturm-Liouville问题特征的渐近分析