The superiority of the classical least square method is lost due to the morbid of designed matrix in large-type linear regression analysis.
在大型线性回归分析中，由于设计矩阵的病态使得经典的最小二乘法失去了优良性。
After expounding the modeling method of multiple linear regression based on least square algorithm, the thermal distortion model is modelled.
在介绍了基于最小二乘法的多元线性回归建模方法后，建模了机床的热变形实时预测模型。
In this paper a "compact least square method" is presented to overcome the ill-conditioned coefficient matrices in the linear regression models.
本文提出一种克服线性回归模型系数矩阵病态的“紧致最小二乘估计”。
Multiwavelength - derivative method and linear regression spectrophotometry combined with least square method are applied to the simultaneous determination of NO_3 and NO_2 in water.
研究了利用多波长导数—最小二乘回归—紫外分光光度法同时测量水中NO_3和NO_2离子含量的方法。
The research about least square estimation of regression parameters in the linear model has included integrated and systemic results.
对于线性模型中回归参数的最小二乘估计的研究工作已经有了系统和完整的研究结论。
In this paper, an algorithm of linear regression algorithm of least square with guideline of principal axis is derived according to the practical situation of application in reservoir engineering.
结合油气藏工程应用中实际，推导了线性回归主轴准则最小二乘线性回归算法。
In first the linear regression model resulted from least square method is presented and its disadvantage is analyse, great forecasting error exists when extreme abnormal case exists.
本文先介绍了用最小二乘法进行线性回归预测的方法，并分析了其不足，即当存在着极端的异常情况时，往往存在着较大的预测误差。
Trial-and-error method of the linear regression is introduced to determine the reasonable range of geological parameters. And the nonlinear least square method to calculate OGIP.
采用直线回归的试算法确定气藏合理地质参数的范围，介绍了非线性最优化天然气储量的计算方法。
Multiwavelength linear regression spectrophotometry combined with least square method is applied to the simultaneous determination of NO3 - and NO2 - in environmental water.
本文研究了利用多波长最小二乘回归- 分光光度法同时测定环境水中的NO3-和NO2- 离子含量的方法。
In this paper we get the estimation of time-varying parameters in linear regression model with ARMA noise by the least square method and discuss the consistency of the estimation at the same time.
本文利用最小二乘估计给出噪声为ARMA序列线性模型中时变参数估计，并讨论了估计量的相容性问题。
In this paper we get the estimation of time-varying parameters in linear regression model with ARMA noise by the least square method and discuss the consistency of the estimation at the same time.
本文利用最小二乘估计给出噪声为ARMA序列线性模型中时变参数估计，并讨论了估计量的相容性问题。
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