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mean-square value meaning in English

均方值

Examples

  1. Finally , the average value , root - mean - square value , maximum , minimum , spike factor of wind force , wind force moment are analyzed to studied the mutually interference influences to the base force of high buildings and group of buildings
    最后分析不同状态下风力、风力矩的平均值、均方根值、最大值、最小值和峰值因子,探讨了风荷载下高层建筑的相互干扰和群楼对建筑物风力影响。
  2. ( 5 ) statistically analyze data : except provide basic analysis , it can also calculate the maximum , minimum , average and root - mean - square value of age , pre - hospital , bp , gcs , rts , iss , gos , ps _ triss , ps _ ascot . the results can be output or printed out by the forms of graph or report
    ( 5 )数据的统计分析:本系统提供基本的数据统计分析功能,可进行包括年龄、院前时间、血压、 gcs 、 rts 、 iss 、 gos 、 ps _ triss 、 ps _ ascot等资料的最大值、最小值、平均值、标准差等大量统计工作;统计结果可用图形或报表形式导出或打印。
  3. It comes up with a new notion , d - solution , which is applied to the distance estimation , by virtue of hilbert space ; furthermore , the dissertation has gained a necessary condition which is identity of minimum mean - square value in linear function classes , so that d - solution extends minimum mean - square value within the domain of nonlinear function equation or equation system ; and , the dissertation studies in detail the classical moment estimation and maximal likelihood estimation on the parameters of ar ( p ) , a series of theorems in the estimation section shows the moment estimators are consistent on the ground of large samples jikewise , those distribution functions of the estimated parameters accord to maximum likelihood estimation converge gauss distribution if the white noise is gaussan
    首先,借助hilbert空间理论,提出了距离估计的d -解,给出了d -解的必要条件,这个条件在线性函数类里即是极小二乘估计法, d -解的必要条件满足的方程实质上将极小二乘估计法推广到多函数及非线性函数类。再而,详细地研究了多元弱平稳序列自回归模型ar ( p )的参数经典的矩的替代估计和极大似然估计,获得矩的替代估计的一致性的结果。对基于gauss白噪声假设多元弱平稳序列自回归模型的均值、白噪声的协方差阵的极大似然估计都有依分布收敛到多元正态分布的统计性质。

Related Words

  1. squarer
  2. square
  3. squaring
  4. squares
  5. squared
  6. mean-square filtering error
  7. mean-square regression
  8. mean-square velocity
  9. mean-squared error
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