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。
NLREG is a powerful statistical analysis program that performs linear and nonlinear regression analysis, surface and curve fitting.
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。
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.
此外，本文提出的LQ定理使我们能用相关分析法，通过变量变换，把单因素非线性回归问题，化成线性形成来处理。
Besides, the LQ theorem presented in this paper can be used to change a nonlinear single regression problem to a linear one by means of transformation of variables.
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。
Several approximate formulas are given for residual analysis of the least square estimator in nonlinear regression model.
本文将讨论综合运用非线性回归模型和时间序列分析的方法进行变形预报。
This article demonstrates that deformation forecast will be performed by a comprehensive method of non linear regression model combined with time series analysis.
通过分析道路交通事故发生的特点，从不同的角度，建立了模糊图模型、非线性回归模型及基于灰色理论的灰色预测模型。
The predictive models of fuzzy graph, nonlinear regression and with grey theory are set up from different aspects by analyzing the features of road traffic accidents.
以BP网络为例给出了基于人工神经网络的非线性回归实例分析。
Based on BP network, the example of nonlinear regression by artificial neural networks is given.
用间接观测平差法分析线性回归方程，用曲线中点比较法选择最优非线性回归方程。
Linear regression equation is analyzed by using indirect error-smoothing, and nonlinear regression equation is optimally selected by using the method of comparison of mid-point of curve.
数据拟合是数理统计学中的一个永恒话题，在实际工作中我们最常用的拟合方法是回归分析，其中包括线性回归和非线性回归。
Data smoothing is a perpetual topic in mathematical statistics. In practice we usually use regression to smooth data, including linear regression and nonlinear regression.
数据拟合是数理统计学中的一个永恒话题，在实际工作中我们最常用的拟合方法是回归分析，其中包括线性回归和非线性回归。
Data smoothing is a perpetual topic in mathematical statistics. In practice we usually use regression to smooth data, including linear regression and nonlinear regression.
应用推荐