应用线性加权模型对双城镇城区1992，1997和2000年的土地持续利用状况进行了综合评价；
The linear weighted function was chosen to evaluate the state of sustainable land use in the urban districts of Shuangcheng Town in 1992,1997 and 2000.
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。
A reconstructing method for random weighting approximations is proposed in approach to the distributions of the parameter estimates in general linear regression model.
对理论变异函数球状模型及其套合结构拟合这一问题作了探讨，提出了加权线性规划拟合法。
The regression of spherical model and its nugget structure of theoretic variogram is discussed and the weighted linear programming method is proposed in this paper.
以广西实际资料具体阐述了线性自回归加权递推模型在大林业中的应用。
By using this material in Guangxi, the application of the linear autoregression model associated with weighting and recursive estimation was introduced for forestry.
通过采用线性加权法、分离部分控制变量法，以及在一定范围内穷举，将问题简化，进而给出模型的求解方法。
We simplify the problems by using the linear weighted method, separate technique of partial control variables, and enumerating in certain range, then give out the solving plan of the model.
在非线性系统的多个平衡点建立线性模型的基础上，提出了多模型系统的模糊加权控制策略。
This paper presents a multi_model weighted fuzzy control for a set of linear systems which is established by linearization of the nonlinear systems at various equilibrium points.
在第一种模型中，假定出行者的广义出行费用定义为平均行程时间和行程时间均方差的线性加权和，同时出行者能够正确认识自己的广义出行费用。
In the first model users' generalized travel cost are assumed to be weighted sum of the standard deviation and the mean travel time, and users have perfect knowledge of the road network condition.
主要考虑了同方差型的半参数线性回归模型中参数的随机加权最小二乘估计（RWLSE）。
The randomly weighted least square estimator (RWLSE) for the parametric component in semi-parametric regression models was mainly discussed.
研究了带有约束的均值漂移和方差加权的混合非线性回归模型．得到了相应的一阶和二阶诊断统计量。
We study restriction of Nonlinear Regression Diagnostic Models with case-weights and meanshifte simultanously, and some new diagnostic statistics are derved.
设计了基于线性加权法的模型求解算法。
The solution algorithm based on linear weighting method is proposed in this paper.
提出一种基于新的模糊模型和加权递推最小二乘算法(WRLSA)的非线性系统模糊辨识方法。
A fuzzy identification method for nonlinear systems is suggested based on a new fuzzy model and weighted recursive least square algorithm (WRLSA).
基于倒数灰色关联度的加权调和平均组合预测模型是一种新的非线性组合预测模型。
Weighted harmonic means combination forecasting based on degree of reciprocal grey incidence is a new kind of nonlinear combination forecasting method.
给出了线性回归模型中的加权最小二乘估计以及最优权数的选择。
This paper gives weighted least squares estimate and the method to choose optimum weighted function for linear regression model.
线性无偏最小方差估计与最优加权最小二乘估计是线性模型下两种最常用的估计方法。
The linear unbiased minimum variance estimate and the optimally weighted least squares estimate are two of the most popular estimation methods for a linear model.
利用率点对模型参数估计的影响强弱，使用一种加权的线性回归模型参数估计算法。
Model parameters are computed using a weighted linear regression technology according to the different impacts of rate point to estimation of model parameters.
在此基础上建立面板数据插值的线性组合模型，提出空间漂移度法确定组合插值模型的加权系数。
A combination interpolation model is constructed by the results of the two models, The weights of the combination model are obtained by information entropy.
提出了一种用随机加权的方法去逼近线性回归模型中M-估计的渐近分布。
Rao and Zhao (1992) developed the random weighting method for M-estimates in regression models.
将该模型应用于对水质评价的实例，得到了比线性加权评价法更令人信服的结果，证明了该模型较加权平均法的优越性。
In comparison with the weighted average model, this method is more satisfactory and furthermore proves the advantages of the model.
在给定的线性模型下，讨论了最优加权最小二乘估计与线性无偏最小方差估计性能比较。
The discussion on the property comparison between optimally weighted LS estimate and linear unbiased minimum variance estimate for a linear model is presented.
基于倒数灰色关联度的加权调和平均组合预测模型是一种新的非线性组合预测模型。
Weighted geometric means combination forecasting based on degree of logarithm grey incidence is a new kind of nonlinear combination forecasting method.
然后，利用线性加权法和主要目标法将多目标优化问题转化为单目标优化问题，采用精确算法思想进行模型求解。
Then it USES linear weighting method and main target method to convert the problem of multi-objective optimization into a mono-objective one and works out its solution via exact algorithm.
其次，在多径时延的模型基础上，本文分析研究了加权分数低阶协方差时延估计方法和基于加权非线性变换的时延估计方法。
Then, based on the multipath model, this thesis analysed and researched the time delay algorithm based on the weigthed fractional lower order covariance and the weigthed non-linear transformation.
其次，在多径时延的模型基础上，本文分析研究了加权分数低阶协方差时延估计方法和基于加权非线性变换的时延估计方法。
Then, based on the multipath model, this thesis analysed and researched the time delay algorithm based on the weigthed fractional lower order covariance and the weigthed non-linear transformation.
应用推荐