| 1. | Order components were extracted in time domain by constructing weighting least square adaptive filter
通过构造加权最小二乘自适应滤波器，实现了各阶比成分在时域中提取。 |
| 2. | On account of the defects of rigid localization condition and low localization accuracy in double - vessel localization , the paper gives an algorithm of multiple - vessel localization based on weighted least squares
摘要针对双舰定位存在的定位态势要求高、定位精度低等，提出了基于加权最小二乘法的多舰定位算法。 |
| 3. | Synthesizing the two identification methods of weighted least square and resricted memory , the mutivariable system recursive estimate algorithems of unknown parameter of autoregressive models in the presence of controlled inputare are given
摘要将加权最小二乘法和限定记忆两种参数估计方法相综合，给出了多变量系统带控制输入的自回归模型未知参数的递推估计算法。 |
| 4. | While it ' s always possible to estimate robust standard errors for ols estimates , if we know something about the specific form of the heteroskedasticity , we can transform the model into one that has homoskedastic errors ? called weighted least squares
对ols估计稳健标准差总是可能办到的，但是，如果我们知道一些关于异方差结构的信息，我们可以将原模型转化为具有同方差的新模型，这称为加权最小二乘法。 |
| 5. | Selecting the image elements of earth and moon centers as observed quantity , measurement noise model and observed equations of autonomous navigation system are built up . the spacecraft orbit is determined by using the recursive weighted least square based on ud factorization
在奔选取地心和月心像素作为观测量,建立了符合实际情况的量测噪声模型和自主导航系统的观测方程,并利用基于ud分解的递推加权最小二乘算法估计了奔月探测器的轨道参数。 |
| 6. | The paper employs the same method that has been used by schwert ( 1989 ) in the examination of the relationship between stock market volatility and macroeconomic volatility . firstly , the paper uses the iterated weighted least squares to estimate the conditional volatilities of economic variables . and then it seasonally adjusts the conditional volatilities on the basis of schwert ( 1989 ) , because according to the analysis of the paper , the conditional volatility of each variable exhibits the cyclical seasonal movements and removing the cyclical seasonal movements will ensure the removal of the effects of nonessential factors on economic variables
文章依照schwert ( 1989 )检验美国股票市场收益率波动与宏观经济波动之间关系的研究方法通过迭代加权最小二乘法( iteratedwls ) ，首先估计经济变量的条件波动率，并在schwert ( 1989 )的基础上对所求得的条件波动率进行季节调整，文章分析每个经济变量的条件波动率都存在明显的季节性周期运动，消除季节因素即消除了非宏观基本面因素对经济变量的影响。 |
| 7. | Fifth , through statistical analysis of electrical connector accelerated life test data , verified that the reliability statistical model of electrical connector and the reliability statistical method under doof data are both correct . applied the maximum likelihood estimate method with the least squares estimator of test data as preliminary estimate and weighted least square estimate method separate to treat the different kind test data , obtained the estimator of electrical connector reliability characteristic values
第五，采用极大似然估计法和加权最小二乘法对电连接器加速寿命试验数据进行了统计分析，得到了电连接器可靠性特征量的估计值，验证了电连接器可靠性统计模型和doof数据下可靠性分析方法的正确性。 |
| 8. | Firstly , we estimate the variance and the mean of each cell with maximum likelihood ; secondly , we identify the important dispersion effects based on least squares analysis of the logarithm of within - replication variance ; last , we identify the important location effects based on weighted least squares analysis of the mean of each cell . a simulation study also demonstrates its superiority over some existing methods . an experiment for the robust design of thermostat is used to illustrate the method
本文对带有右截尾数据的有重复因子试验，提出了另一种分析位置效应和散度效应的方法：首先，在每一个试验点，对重复试验观察值用极大似然法估计出均值和方差；其次，用每个试验点方差估计值的对数作为响应变量与各因子建立回归模型，鉴别出显著的散度效应；之后，采用加权最小二乘法鉴别出比较显著的位置效应。 |
| 9. | Two - stage - fitting ( tsf ) method is obtained , which consists of evaluating the function values of regular - grid points by using local weighted least square methods or radial function interpolation , and smoothly and quickly interpolating those points by using multivariate splines . the result is a hyper - surface of c1 or c : continuity
基于上述结果，提出了h - d空间散乱数据超曲面构造二步法，第一步应用局部最小二乘法或局部径向基函数拟合法插补立方体网格点上的函数值，第二步应用多元样条光滑快速插值计算，使所得超曲面具有c ~ 1或c ~ 2连续。 |
| 10. | Chapter 4 introduces the use of weighted least square generalized svm for optimal control systems . weighted least square svm for robust regression estimation is generalized and then used to solve n - step optimal control problem based on the svm . the weights are determined by fuzzy method
4 .加权ls一svm可以对回归估计问题实现鲁棒估计，把它同基于ls一svm的n步最优控制想法相结合，将其扩展到基于加权最小二乘广义svm ，并应用于n步最优控制问题，确定加权因子采用了模糊运算的办法。 |
