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。
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。
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。
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。
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。
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
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
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。
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。
The Box Jenkins method is adopted in the paper to deal with residual series.
为此,采用鲍克斯—詹金斯方法对残差序列进行再处理。
The application of the time series analysis to GPS residuals
GPS残差信号提取的时间序列分析方法
a few residual faults in the computer program
计算机程序中的少许残留误差.
An Improved Sequential Probability Ratio Test Method for Residual Test
序贯概率比检验用于残差检测的一种改进方法
Grey Prediction Model Research of the Last Frost Date Based on Time Series Residual Error Identification
基于时序残差辨识的终霜日灰预测模型研究
Precise Asymptotic in the Law of the Iterated Logarithm of PA and Martingale Difference Sequences;
PA与鞅差序列重对数律的精确渐近性
Some Laws of Large Numbers for Sequences of NA and B-valued Quasi-martingale Difference;
NA和B值拟鞅差序列的几个大数定律
Statistical Inference for Conditional Heteroscedastic Time Series Models;
条件异方差时间序列模型的统计推断
An Analysis of the Diversity of Ancient mtDNA Sequences by RT-HPLC;
基于RT-HPLC的古代mtDNA序列差异性分析
The Inverse Matrices of Arithmetical Hankel Matrices;
等差序列构成的Hankel矩阵的逆矩阵
Strong deviation theorems of random variable sequences for occurring frequencies;
随机变量序列发生频率的强偏差定理
Newton Generalized Construction of Double-side Iterated Series and Errors Estimation;
Newton一般双侧迭代序列构造及误差估计
Predicting termination of atrial fibrillation based on sign sequence of RR interval differences
基于RR间期差符号序列预测房颤终止
Simulating the clock error of receiver by the method of linear time sequence
利用平稳时间序列模拟接收机钟误差
Varying-coefficient Models under Nonparametric AR(1) Error Condition
误差是非参数AR(1)序列的变系数模型
Near Neighbour Estimate in Semiparametric Regression Model: The Martingale Difference Error Sequence Case
半参数回归模型的近邻估计──鞅差误差序列情形
CONVERGENCE RATE OF THE ESTIMATE OF THE REGRESSION FUNCTION UNDER ERROR BEING MARTINGALE DIFFERENCE SEQUENCE;
误差为鞅差序列的回归函数估计的收敛速度
Binary Sequence Pair Sets with Zero Correlation Zone from Quadratic Difference Set and Difference Set Pair
由平方剩余差集与差集偶构造二元ZCZ序列偶集