1) seemingly unrelated regression system
相依回归系统
1.
As to seemingly unrelated regression system,a new biased contracting estimator of the parameters is put forward,which is the combination of generalized ridge covariance-improved estimator and Stein estimator,and the good features of this estimator in mean square error is discussed.
对于一类相依回归系统,结合广义岭型协方差改进估计与Ste in估计,提出了一种新的有偏压缩估计,,并讨论了该估计在均方误差下的优良性质。
2) seemingly unrelated regression system
半相依回归系统
1.
The focus of this paper is to discuss the statistical properties of several two stage estimators of the regression coefficients (β) in seemingly unrelated regression system with unequal numbers of observations(SURS(UNO)) when the covariance matrix unknown.
该文着重讨论协方差阵未知时观察次数不等的半相依回归系统（ＳＵＲＳ（ＵＮＯ））中回归系数β的两步估计问题，对３个因素的４８种不同水平组合进行ＭｏｎｔｅＣａｒｌｏ模拟，并对模拟结果进行统计检验，发现在我们给出的ｓｄ准则下：１。
2.
For the tow seemingly unrelated regression system, this paper proposes an improved combining generalized ridge and principal components estimator and investigates its advantages.
对于一类半相依回归系统提出了一种广义岭型主成分改进估计,并讨论了这种估计及相应的两步估计的优良性质,获得了若干深入的结果。
4) seemingly unrelated regression model
相依回归模型
1.
Relative efficiencies of parameter estimator in a class of seemingly unrelated regression model;
一类相依回归模型参数估计的相对效率
2.
The seemingly unrelated regression model(1) converting into(2) is studied,under matrix loss,it is given a unique linear Minimax estimator of a linear estimable function SXβ,for Cov(Y)=σ2(∑In) when σ2>0 is unknown while ∑>0 is know.
研究了相依回归模型(1)在改写为模型(2)后,对Cov(Y)=σ2(∑In)中σ2>0未知而∑>0已知时,在矩阵损失下给出一个线性可估函数SXβ的惟一线性Minimax估计。
3.
In this paper,the auther obtains some inequalities of the risk of the OLS estimator ,the GLS estimator and the RGLS estimator under quadratic loss and Fisher s loss in seemingly unrelated regression model.
本文给出了相依回归模型的ＯＬＳ估计，ＧＬＳ估计和ＲＧＬＳ估计在二次损失和Ｆｉｓｈｅｒ损失下的风险估计不等式。
5) autoregressive-correlation structure
自回归相依结构
6) seemingly unrelated regression equations
SUR相依回归方程
补充资料：m相依过程
m相依过程
m-dependent process
m相依过程fm一峡曰的t碑创芳留」【补注】离散时间随机过程(stochasticP代犯e粥)(X。)。。z称为m相依的，如果对所有k，联合随机变量(x。)。‘*独立于联合随机变量(x。)。，*十。、。. 这类过程是作为尺度变换(重正规化)的极限，因而也是作为具有尺度对称性过程的例子自然产生的(【Al」).m相依过程的例子由(m+l)分块因子(blockfactoIS)给出，其定义如下:设(Z。)。。z是一独立过程，f为m十l个变元的函数，X。二f(z。，…，Z，+。)，则(m十l)分块因子X。是一m相依过程. 但存在并非2分块因子的1相依过程(one-山哪ndent Proc哪)(【A2】).
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