线性过程 meaning in Chinese
linear process
Examples
- Laws of large numbers and cen
线性过程的大数定律与中心极限定理 - In chapter , we study the nonparametric and linear model with weak sta - tionary linear model
在本文的第三章中，研究了误差是弱平稳线性过程的线性模型与非参数回归模型。 - Secondly , in modem instruction , cognitive activity , as an importance part of instruction , is often regarded as an one - dimensional and linear process in which objective and definite knowledge is transferred from teacher to students
其次，认识活动作为教学的一个重要组成部分，在现代教学中仅被视为将客观的、确定的知识由教师传递给学生的单向、线性过程。 - This paper consists of two parts : in the first part , we will discuss the prob - lem of the pth - mean , complete consistency for the estimators of a nonparamet - ric and linear model with l ~ p - mixingale errors ; in the second part , we will dis - cuss the problem of the rth - mean 、 complete consistency for the estimators of themodels above with weak stationary linear process errors and the uniformly mean consistency . to the nonparametric model y _ ni = g ( x _ ni ) + _ ni , 1 i n , let g _ n ( x ) = w _ ni ( x , w _ n1 , … ? xnn ) y _ ni estimate the unknown function g ( x ) . to the linear model y _ i - x _ i1 1 + … ? + x _ iq ? _ q , we use lse _ nj to estimate the unknown parametric _ j
本篇论文主要是由两大部分内容构成：一是关于误差是l ~ p ?混合序列的线性回归模型参数的最小二乘估计与非参数回归模型未知函数的权函数估计的p ~ -阶平均相合性和完全收敛性问题；另一部分是关于误差是弱平稳线性过程的线性模型参数的最小二乘估计与非参数回归模型未知函数的权函数估计的r ?阶平均相合性和完全收敛性以及权函数估计的一致平均相合性问题。 - A important result is the one - orde r expression of ar ( p ) yt = dyt - 1 + e , from paralleling a high - order differential equation transformation into a one - order differential equation system , the one - order expression exposes that the ar ( p ) is only a certain more - multivariable power series process and , if a process is described as an ar ( p ) , the sufficient and necessary condition is the spectrum norm a of the coefficient matrix d less than one . simplification of ar ( p ) not only brings about orthogonal f ( h ) but also provides global foretelling formula
作者用高阶微分方程化一阶微分方程组的方法，获得多元弱平稳序列p阶自回归模型的一步滑动平均表达式，证明了ar ( p )的是一个更高维的幂级数的线性过程，从而，说明了ar ( p )关于序列依概率成立的充要条件是：该模型更高维的幂级数的线性过程的表达式中系数矩阵d的谱范数1 。