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估计序列 meaning in English

estimated sequence

Examples

  1. Of unknown regression coefficient ft under the linear restriction r = r and its convergence , that is : 2 . the optimalities of covariance - improved estimator sequence under three mde crlterions ; 3
    求出了在线性约束r = r下未知回归系数_ 1的协方差改进估计序列,及此序列的收敛性: 2
  2. A parabolic regularity ( viscosity method ) and difference schemes in the rectangle mesh is constructed and convergence rata is obtained in the norm l1 . his approximation method is lately called kuznetsov approximation t
    85 ]得到补偿紧引理,并推得著名的div一curl引理,他给出了当一致l加估计序列的任意嫡消失测度在式
  3. 2 . the paper studies calendar effects of the sample , such as periodicity and long memory 。 so we use the flexible fourier form regression proves and filters the periodic components 。 and use ghp method to estimate the fractional integration d
    用对数周期图法( gph )检验和估计序列长记忆行为。最后对去周期的收益序列建立了garch和egarch模型,较理想的拟合了价格的波动。
  4. In the late 30 or 40 years , many scholars have a lot of studies on a seemingly unrelated regression ( sdr ) system with two linear regression models , and some important results are obtained : zellner ( 1962 ) put forward two - stage estimator ( tse ) ; based on zellner " s , lin chun - shi ( 1984 ) obtained the sufficient and necessary condition of two - stage estimator ; chen chang - hua ( 1986 ) discussed the tse and its optimalities without any condition for designed - matrix x ; ulteriorly , wang song - gui and van li - qing ( 1997 ) obtained an iteration sequence of estimator by using the covariance - improved approach ; liu jin - shan ( 1994 ) , li wen and lin ju - gan ( 1997 ) generalized the covariance - improved estimator respectively
    半相依回归系统是由两个误差项相关的线性回归方程组成的系统。近三、四十年来,已有很多的学者对这类半相依回归系统进行了大量的研究,作出了十分重要的成果: zellner ( 1962 )提出了所谓两步估计法;在其基础上,林春士( 1984 )得出了两步估计的充要条件,陈昌华( 1986 )讨论了对设计矩阵不作任何要求的两步估计及其优良性;进一步地,王松贵、严利清( 1997 )利用协方差改进法获得了参数的一个迭代估计序列,刘金山( 1994 ) ,李文、林举干( 1997 )则分别对协方差改进估计进行了推广。

Related Words

  1. 估计流量
  2. 费用估计
  3. 估计不足
  4. 试样估计
  5. 估计率
  6. 主观估计
  7. 估计重量
  8. 火情估计
  9. 估计区
  10. 重新估计
  11. 估计修理费用
  12. 估计需要
  13. 估计续航力
  14. 估计旋回点
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