An improved multi-parameter regression method to determine the normal height is introduced. It can overcome the limitations of the geometrical methods which are used in practice.
针对常用的几种几何方法在实用中的局限性，提出了一种经过改进的多元回归方法。
When determining empirical formula with test method, estimation value of estimated parameter in regression equation which is obtained with least square method always is a long number.
用实验方法确定经验公式时，回归方程中用最小二乘方法求得的待估参数的估计值往往是一个很长的数。
In solving the regression equations, collinearity in the design matrix can result in inaccurate parameter estimates.
在解回归方程时，设计矩阵中的共线性可能产生不精确的参数估计。
We use linear regression analyses to get coordinate conversion parameter and make the result is optimal.
使用线性回归分析来求解坐标系拟合参数，从而得到最优化的效果。
The parameter estimation method is multiple linear regression analysis.
参数估计法采用多元线性回归分析法。
By making a primary orthogonal regression test, the major factor and best parameter combination were found out, which supply theoretical basis for further research on awn removed principle and awner.
通过一次回归正交试验找出了影响除芒效果的主次因素和最佳参数组合，为进一步研究除芒机理与机具提供了依据。
The regression method of rheology parameter for non-Newtonian fluid is obtained by the least square method.
同时根据最小二乘法原理得出确定非牛顿流体流变参数的回归分析方法。
A reconstructing method for random weighting approximations is proposed in approach to the distributions of the parameter estimates in general linear regression model.
对一般线性回归模型中有关参数估计分布的模拟问题，给出一种随机加权逼近的再构造方法。
In this paper, a new process of estimating autocorrelation parameter is given when remedying autocorrelation of error term in regression model.
在消除回归模型误差项的自相关现象的处理中，提出了一种确定自相关参数估计值的新方法。
Stochastic parameter sensitivity of SRM grain structure was analyzed based on viscoelastic stochastic finite element method(VSFEM) and polynomial regression model.
基于粘弹性随机有限元法（VSFEM）和多项式回归模型，分析了固体火箭发动机药柱结构的随机参数灵敏度。
We make analyses of the three hypotheses of regression. Adaptive adjustment of smoothing index parameters and parameter estimation of ARMA models.
对统计算法中回归模型中的假设条件、平滑指数的自适应调整、ARMA模型的参数估计作了一些分析。
Based on the basic principle and modeling method of partial least-square regression (PLSR), establishing the mathematical model for parameter prediction of the steam turbine units.
根据偏最小二乘回归的基本原理和建模的基本思路，建立数学模型并将其应用于电厂机组的参数预测中。
This paper studies approximate confidence regions for the parameter and parameter subsets in exponential type regression models from geometric point of view.
本文从几何观点研究了指数型回归模型参数和子集参数的置信域问题。
At realm of surface roughness of machined surface, forecast mathematical model is set up by using quadratic regression orthogonal design between NC turning parameter and machined surface.
在已加工表面粗糙度研究领域引入回归正交分析，采用多元二次回归正交设计得到了数控车削参数与已加工表面粗糙度的回归预报模型。
Algorithms for iteratively refining the parameter estimates and residuals from the fitting of a regression model using QR decomposition are described.
讨论用QR分解拟合回归方程时，参数估计和剩余的迭代加细算法。
Compared to LP regression, LW estimation was proved to solve the parameter selection, and it also can neglect the impression of noise data.
结果表明LW估计方法相比lp回归，解决了半参数方法的参数选取问题，且能够完全忽略噪声数据的影响而得到一致的估计。
And then this thesis summarized the parameter estimation methods of the quantile regression models including Bayesian analysis, and introduced the calculation and evaluation methods of VaR in detail.
然后总结了分位回归模型的参数估计方法和贝叶斯理论分析，并详细归纳了风险价值的计算方法、评价方法。
By searching for the parameter in more sections and using regression diagnosis, the established parameter is ensured to be more suitable.
提出了通过多搜索几个区间和回归诊断来更大限度地保证所确定出的参数是合用的。
Finally, a quadratic regression equation is used to represent LTV system, and the GA and AIC are introduced to determine the structure of the parameter sub-model.
然后利用遗传算法和AIC确定参数子模型的结构，以获得最终用于表示LTV系统的二次回归方程。
The calculating formulae of weighted optimum curve regression model parameter given in this paper possesses high speed of parameter correcting, high precision of fitting and obvious effect.
本文给出的带权优化曲线回归模型参数计算公式，修正参数速度快，拟合精度高，效果显著。
Based on standard curing blocks' experimental results, regression strength equation with nondestructive parameter-test block strength is established.
以标准养护试块的试验结果建“立无损参量-试块强度”的回归测强方程。
This paper gives a new kernel estimate, bandwidth parameter and the bias-corrected confidence belt for nonparametric regression curve.
对非参数回归曲线提出了一种新的核估计量和窗宽选择方法及修正偏倚置信带。
The empirical study part contains assumptions, description of statistical analysis, parameter testing of single-factor analysis of variance, correlation and multiple linear regression analysis.
在实证部分，提出假设，进行描述行统计分析、参数检验分析、单因素方差分析、相关性分析和多元线性回归分析。
The general structural error-in-variable regression models is discussed. A consistent estimator of the regression parameter is presented.
讨论一般结构关系度量误差模型的大样本理论，给出了未知参数的一个强相合估计。
This paper studies a kind of regression fitting of polynomial with an additional parameter.
本文讨论了一种带参量的多项式回归拟合。
In this paper, we will consider the universal admissibility for linear estimators of regression coefficients under growth curve model with respect to restricted parameter sets.
本文讨论带约束生长曲线模型中回归系数线性估计的泛容许性，给出了回归系数的线性估计在线性估计类中是泛容许估计的充要条件。
In this paper, we will consider the universal admissibility for linear estimators of regression coefficients under growth curve model with respect to restricted parameter sets.
本文讨论带约束生长曲线模型中回归系数线性估计的泛容许性，给出了回归系数的线性估计在线性估计类中是泛容许估计的充要条件。
应用推荐