结果：给出一个计算非线性生物模型回归参数的新方法。
Results:Giving a new method calculating regression parameters of nonlinear biology models.
两个回归参数相等性检验一直是统计界感兴趣的问题之一。
Testing equality of two Regression functions has long been an interesting issue in statistical inference.
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。
The research about least square estimation of regression parameters in the linear model has included integrated and systemic results.
不但显著提高了非线性生物模型回归参数的精度，而且还能发现原始数据中隐藏的问题。
It can not only improve regression precision of the nonlinear biology models but also can find problems hidden in the original data.
目的：研究变量代换对非线性生物模型回归参数的干扰，寻找消除或减少该干扰的新方法。
Objective: To study the disturbance creatd by the variable transformation within regression parameters of nonlinear biology models and find a new method removing or reducing the disturbance.
该方法通过建立具有模糊回归参数的回归模型，可以直接由模糊观测数据预测出未来负荷值。
With the established fuzzy regression model, the future load value can be forecasted based on the fuzzy historical observation data.
利用动压作回归参数，对实测数据进行归纳，得到了较高拟合优度的结果，有较强的工程适用性。
Taking the dynamic pressure as an induction parameter, the measured data is induced to that a result with higher fitting degree is obtained, which has a better engineering practicability.
传统的研究方法是采用多元正交多项式回归参数优化设计，通过获得一些经验公式来进行实验研究。
The multi-element orthogonal polynomial regression is used for traditional optimization technique of parametric optimum design, and the experimental research is done by some experiential formula.
在指数模型、幂函数模型、平方根模型、双曲线模型和对数模型等回归参数模型中，只有对数模型能较真实反映高填方地基工后沉降规律。
All exponential models, power function models, root-squaring models, hyperbolic models, but logarithm models can't disclose the laws of the post - construction settlement of the high embankment.
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。
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.
由发动机性能的设计技术参数，运用模糊线性回归理论建立了发动机经济性指标的模糊预测模型，并对其经济性指标进行预测和分析。
Based on the technical parameters for the performance of engines, the economical index of engines is predicted and analyzed by the theory of fuzzy linear regression.
对应于方差参数这两种估计的回归系数的两种两步估计，它们的均方误差大致相当。
However, two-stage estimates of regression coefficients corresponding to these two estimates have approximate equal mean square error.
参数估计法采用多元线性回归分析法。
The parameter estimation method is multiple linear regression analysis.
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。
The regression method of rheology parameter for non-Newtonian fluid is obtained by the least square method.
并经逐步回归方法对参数的显著性进行检验。
The significance test is made to the parameters by the stepwise regression method.
提出了一种优化非线性系统控制参数的方法——回归正交试验法。
The regression orthogonal test approach can be used to optimize the control parameters for nonlinear systems.
用幂函数模型描述的回归曲线以及根据试验参数得到模拟曲线与试验值比较误差均较小。
The errors are less as comparing the test data with regressive curve and simulative curve from test parameters using the power function model.
采用了通用估计方程(GEE)方法对泊松回归模型进行参数估计。
Generalized Estimation Equation (GEE) was used to estimate parameters of poisson regression model.
给出的样本分类方法对各种领域多元参数回归应用具有重要意义。
The sample classification method provided is adaptable to multivariate parameters regression analysis of various fields.
用幂函数模型描述的回归曲线以及根据试验参数得到模拟曲线与试验值比较误差均较小。
The errors of the data obtained using the power function model are very small from the test data.
本文提出一种估计自回归ar参数的新算法。
A new algorithm for autoregressive ar parameters estimation is presented in this paper.
本文主要研究了生长曲线模型中回归系数的参数估计问题。
In this paper, some researches on estimator of parameters in the growth curve model are considered.
对两种类型资料边际回归模型都可以同时估计回归系数和关联参数。
Marginal regression models can be used to estimate regression coefficients and association parameters for two kinds of data.
对多元线性回归模型参数的预测，转化为对其变量集合的增广矩阵的叉积阵的预测。
Prediction to the regression parameters was converted to predict cross product matrix of the variable augmented matrix.
本文提出一个新的非对称广义arch模型，并以非参数回归方法对模型进行估计。
This paper suggests a new AGARCH linear regression model, and USES nonparametric regression method to estimate the model.
本文提出一个新的非对称广义arch模型，并以非参数回归方法对模型进行估计。
This paper suggests a new AGARCH linear regression model, and USES nonparametric regression method to estimate the model.
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