1) asymptotic normal procedure
渐近正态法
1.
Objective: Design tables of the required sample sizes for survival studies including 1,530 projects were made out based on the generalized asymptotic normal procedure for clinical applications.
目的 :本文就两样本生存研究所需样本量用广义渐近正态法设计出 15 30个方案 ,制成设计表供临床使用。
2) asymptotic normality
渐近正态
1.
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
2.
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。
3.
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。
3) asymptotically normal
渐近正态
1.
Under the normal distribution, the maximum likelihood estimator for the population parameter is proved to be unbiased and asymptotically normal.
在正态分布假 设下，总体参数的极大似然估计是渐近正态无偏估计。
4) asymptotic normal
渐近正态
1.
We prove the asymptotic normality of G M estimation of AR parameters of ARMA sequence.
证明了ＡＲＭＡ序列ＡＲ参数ＧＭ估计的渐近正态性。
2.
This paper presents full-information maximum weighted likelihood estimation of nonlinear simultaneous equations models and studies its asymtotic properties such as consistency and asymptotic normality.
提出非线性联立方程模型的充分信息最大加权似然估计并得到其一致性和渐近正态性的大样本性质 。
3.
This paper presents maximum weighted likelihood estimation of parametric regression models and proves its asymptotic properties such as consistency and asymptotic normality by using laws of large numbers and central limit theory.
提出参数回归模型的最大加权似然估计方法并利用概率论中的大数定律和中心极限定理证明了估计的一致性和渐近正态性 。
5) asymptotic normality
渐近正态性
1.
Consistency and asymptotic normality of local M-estimator in case of response data missing;
缺失数据下局部M-估计的相合性和渐近正态性
2.
Asymptotic Normality of Estimates of Coefficints for 2-Dimensional TAR Models;
二维一阶TAR模型系数估计的渐近正态性
3.
Estimation and asymptotic normality for partially linear models with censored data;
删失数据下部分线性模型的估计及渐近正态性
6) asymptotical normality
渐近正态性
1.
This paper discusses the asymptotical normality of the renewal process generated by strictly station- ary LPQD random variables.
本文讨论了强平稳LPQD随机变量列更新过程的渐近正态性问题。
2.
The asymptotical normality of the renewal process generated by general NA random variables is discussed.
讨论了一般的同分布NA随机变量列更新过程的渐近正态性问题,并将强平稳NA列作为一个推论,得到了其更新过程的相应结果。
3.
,X\-n are α --mixing, ρ --mixing samples, we obtain the asymptotical normality for f n(x).
本文在 X1,… ,Xn为 α——混合、ρ——混合样本时 ,得到了 fn(x)的渐近正态
补充资料：渐近逼近法
分子式：
CAS号：
性质：又称润滑逼近，逐步逼近，渐近逼近法。是数学中求解函数的一种叠代方法。对函数类A中给定的函数f(x)，要求在另一类较简单的便于计算的函数类B中，求函数p(x)∈B，使P(x)与f(x)之差在某种度量意义下最小。函数类A通常是C[a、b]，函数类B通常是代数多项式、分式有理函数或三角多项式。
CAS号：
性质：又称润滑逼近，逐步逼近，渐近逼近法。是数学中求解函数的一种叠代方法。对函数类A中给定的函数f(x)，要求在另一类较简单的便于计算的函数类B中，求函数p(x)∈B，使P(x)与f(x)之差在某种度量意义下最小。函数类A通常是C[a、b]，函数类B通常是代数多项式、分式有理函数或三角多项式。
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