1) difference sequence
差数序列
2) residual sequence
残差序列
1.
When residual GM(1,1) model does not match requisition,we can make use of the residual sequence which establishes GM(1,1) model to modify primary model,to raise the accuracy.
当残差GM(1,1)模型的精度不符合要求时,可利用残差序列建立GM(1,1)模型对原来模型进行修正,以提高精度。
2.
In this paper, a method of process quality diagnosis using hypothesis testing for residual sequence of ARMA innovation model estimation error by recursive maximum likelihood method was studied.
本文基于辨识 ARMA新息模型生成估计残差序列 ,再对残差序列的平均值和无偏方差进行假设检验 ,可实现工序质量的异常诊断。
3) martingale difference sequences
鞅差序列
1.
This paper,uses the property of being uniformly integrable to truncate the random variable sequences,and under the condition of φ(x)x↑,φ(x)x2↓,obtain a weak law of large number of martingale difference sequences by the weak convergence theorem.
通过使用一致收敛性对随机变量序列进行截尾,并借助随机变量序列的弱收敛定理,在φ(xx)↑,φ(x)x2↓的条件下给出了一个鞅差序列的弱大数定律。
2.
We use least squares and least neighhor weight function to define the estimations and (t) for parametric β and nonparametric g(t) of semiparametric regression model, and obtain their r th mean consistency under martingale difference sequences.
利用偏残差法并综合最小二乘法,给出了半参数回归模型中参数β和非参数g(t)的^β、^g(t),在误差为鞅差序列时,得到了^β、^g(t)的r(r≥2)阶矩相合性。
3.
Positively associated random variables (PA) and Martingale difference sequences arevery important cases in the dependent random variables.
精确渐近性是随机变量加权级数性质的拓广研究，Gut等人在这个方向上做了很多贡献，本文在一定的条件下把Gut和Sp(?)taru的结果推广到PA与鞅差序列的情形。
4) martingale difference sequence
鞅差序列
1.
The extension and application of convergence theorem about martingale difference sequence;
鞅差序列收敛定理的一个推广及应用
2.
Convergence rate of the parametric estimate of the regression model of half-paramter under error being martingale difference sequence;
误差为鞅差序列的半参数回归模型参数估计的收敛速度
3.
Presents some results for weighted sums of multidimensionally indexed and stochastically dominated random variables using orthogonality of martingale difference sequence, which extend the related results of AndrèAdler and Andrew Rosalsky.
利用鞅差序列的直交性质，推广了单指标随机拄制随机变量加权和的结果，给出了多指标随机控制随机变量加权和的极限定理。
6) residual series
残差序列
1.
The time series method is used to extract the regular part from the residual series received by modeling of observed data.
利用时间序列方法，分析去除确定性部分后的残差序列，提取其中的有规律成分作为预报时的补偿项，形成叠合模型，进行建筑物观测资料的分析。
补充资料：差数
1.甲数减去乙数剩馀的数，叫差数。
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