The model of post-dynamic recrystallization has been obtained by using multivariate nonlinear regression analysis.
采用多元非线性回归法得到了后动态再结晶模型。
NLREG is a powerful statistical analysis program that performs linear and nonlinear regression analysis, surface and curve fitting.
NLREG是一款强大地统计分析软件。能够进行线性和非线性回归分析，表面和曲线拟和。
Maths model is built up to show the relationship of density with locating place using multiple nonlinear regression analysis of experimental results.
根据试验数据，应用多元非线性回归方法建立了密度与摆放位置关系的数学模型，并讨论了改善烧结密度的措施。
By nonlinear regression analysis the change law is found that with the increase of geostress the permeability coefficient will decrease with negative exponential trend.
然后通过回归分析，可以发现该地区渗透系数随地应力值的增大呈负指数递减的变化规律。
The static state models of an EGO sensor were obtained by using piecewise polynomial method and nonlinear regression analysis method based on available experimental data.
在发动机实验台上，采用比较法对EGO传感器进行了稳态标定实验。
These are two kinds of difficult problems in Nonlinear Regression Analysis for their complexities and flexibilities in proceeding by hand without normal method to abide by.
这一点也是目前非线性回归分析中灵活性较高、人为因素复杂且无一般程式可供遵循的难点问题之一。
A simple iteration method is proposed for the complex nonlinear (regression) analysis of heat transfer data.
在对复杂的非线性方程进行回归分析时，提出了一种简单的迭代分析方法。
Ridge Regression Analysis is a nonlinear partial estimation method.
岭回归分析是一种非线性的有偏估计方法。
A stepwise nonlinear fitting procedure was proposed to nonlinear fitting equations that USES Marquardt nonlinear fitting analysis and stepwise linear regression alternatively.
对于非线性函数线性组合型相关方程，本文提出了交替运用非线性拟合和逐步线性回归分析相结合的方法一逐步非线性拟合。
Several approximate formulas are given for residual analysis of the least square estimator in nonlinear regression model.
本文给出了若干近似公式，以分析非线性回归模型的最小二乘估计的残差。
This thesis is devoted to investigate the statistical diagnostics, particularly the influence analysis, for nonlinear quantile regression.
本文比较系统地研究了非线性分位点回归模型的统计诊断，尤其是影响分析等。
The Support Vector Regression(SVR)is used for the time series analysis and prediction to resolve the complex nonlinear system modeling problems.
用支持向量回归（SVR）的方法分析和预测时间序列，可解决复杂非线性系统的建模问题。
Finally, the precision of mixed models was compared with the precision of conventional nonlinear ordinary regression analysis method based on validation data.
最后，利用验证数据对混合模型方法与传统的非线性回归模拟方法进行精度比较。
Finally, the precision of mixed models was compared with the precision of conventional nonlinear ordinary regression analysis method based on validation data.
最后，利用验证数据对混合模型方法与传统的非线性回归模拟方法进行精度比较。
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