曲线回归

based on the analysis of regressing the experimental dada show: diffusion coefficient decreases as the increasing of absolute pressure in linear; increases in a way of logarithm with the varying rate of pressure.

对试验数据回归分析表明：木材水分扩散系数随绝对压力的增加呈线性减小；随压力变化速率的增加呈对数曲线增大。

In the experiment, moisture absorption curve from 5℃ to 40℃ were drawn, and then corresponding regression equation of each curve was obtained by curve fitting.

在试验中对烤石莼在5~40℃范围的等温吸湿变化规律进行了研究，将曲线通过计算机拟合获得相应的回归方程。

In this paper, the function of regression matrix is estimated in a growth curve model, and the necessary and sufficient conditions that a linear estimator of the function is admissible among the class of all lin ear estimators under matrix loss are obtained.

摘 要：对增长曲线模型中回归矩阵的函数的线性估计进行了研究。在矩阵损失下，作者得到了线性估计在一切线性估计类中可容许的充要条件。

Some small sam-ple and large sample superiority of this estimate such as the unbiasedness,convergence,asymptotic normality and the property of simulation,are obtained.

我们得到分块拟回归的小样本和大样本性质，如无偏性、均方收敛性、强收敛性和渐近正态性，并讨论了曲线拟合的性质。

By regression analysis of the obtained data, a relationship has been found between the bath depth and ingot height, which can be expressed by an exponential function, h(0,Y)=A e-B/Y, where A is the asymptotic value of the exponential function (when Y→∞hmax=A), B is a shape coefficient of the curve.

通过对已得数据的回归处理，找出了熔池深度h及锭高Y间的相关规律，得到h_(0，Y)=A·e_的指数函数关系，A是指数方程的渐近线，当Y+∞时h_(max=A是曲线形状系数。A和B均为重熔电流的函数，A=f_1，B=f_2，所以，h_(0，Y)=f_3。

Chapter One consists of one paper which is related to the superiority about a class of linear estimation of regression coefficient under Pitman Closeness Criterion.

第一章讨论的是在PC准则下生长曲线模型回归系数阵的一类线性估计的优良性。

Regresive analysis showed that the quadratic curve correlation existed between the biological and chemical characteristics and the time of fermentation and aging.

烤烟发酵过程中生物和化学特性变化与发酵时间之间的关系符合二次曲线相关关系，首次得到了两者之间的回归方程。

And then corresponding regression equation of each curve was obtained by curve fitting.

并通过计算机拟合出各曲线相应的回归方程。

Through regression analysis of models, this model proved to have good curve fitting characteristics, relatively high precision models.

通过对模型进行回归分析，证明该模型具有良好的曲线拟合特性，模型精度较高。

However, because of the curvilinearity of the logistic model, trials comparing 2 effective DES can have significant differences in mean LL and %DS but small expected differences in TLR risk, especially at the lower ranges of LL and %DS.

然而，由于回归模型的曲线斜率，比较2种有效的DES，它们在平均LL和％DS具有显著不同，但在TLR风险上期望差异小特别是在较低范围的LL和%DS。

I'm strongly against the death penalty — it's an eye for an eye.

我不赞成死刑——这是以牙还牙的报复行为。

And to get you the support you need, we're enlisting all elements of our national power: our diplomacy and development, our economic might and our moral suasion, so that you and the rest of our military do not bear the burden of our security alone.

并给你们所须的支援，我们正徵召国家所有各种的力量：我们的外交及发展，我们的经济力量与道德劝说，所以你们与其他军人不须要孤独地负起国家安全的责任。