• The two - parameters weighted mean in defined and an inequality for two - parameters weighted mean of convex function is prove, they have generalized and improved the results in literatures.

    提出函数的双参数加权平均定义证明了一函数双参数加权平均不等式,加强推广了有关文献中的结果

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  • Besides, a new inequality on generalized logarithmic mean is obtained.

    此外,还得到关于广义对数平均一个新的不等式

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  • In this paper, we introduce a new concept of generalized derivative, and derive its operational rules and the mean value theorem of continuous functions.

    文章提出了广义导数概念得到了广义导数的运算法则以及连续函数的中定理

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  • In this paper, we present a new kind of combining forecasting model based on the generalized weighted functional mean and the parameter estimation methods of its weighting coefficients.

    给出一种新的组合预测模型——广义加权函数平均组合预测模型及其加权系数参数估计方法

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  • The conditional density and the conditional mean are estimated by nonparametric method. Then the estimator of the parameter is proposed by the generalized method of moments.

    使用非参数估计方法给出条件密度条件均值估计,在此基础上给出参数广义估计。

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  • 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.

    第一模型中,假定出行者广义出行费用定义为平均行程时间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。

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  • By using the generalized support function, we reckon the mean distance of two points of circle, rectangle and ellipse, and deduct the idiographic process.

    本文研究凸域内两点间的平均距离公式,利用广义支持函数方法分别求了圆、矩形椭圆域内两点间的平均距离,给出了具体的求解过程。

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  • The 0-K class of estimators if studied, it will be proved that under the mean square residua criterion the estimators can be improved via the generalized ridge regression technique.

    研究这一估计性质,证明利用0-K型广义估计技术可以改进广义岭估计(在均残差意义)。

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  • The 0-K class of estimators if studied, it will be proved that under the mean square residua criterion the estimators can be improved via the generalized ridge regression technique.

    研究这一估计性质,证明利用0-K型广义估计技术可以改进广义岭估计(在均残差意义)。

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