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regression function相关的网络例句

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与 regression function 相关的网络例句 [注:此内容来源于网络,仅供参考]

Regression noise, and the multivariate t distribution statistics of the regression noise.

分布对高维多尺度回归噪声先验概率密度进行建模,构造出适用于检测高光谱图像中区域目标的空间多尺度自回归有监督检

We studied the effects of protein content, pH and ionic strength on viscosity of silver carp myofibril protein by orthogonal rotational regression design, and established the regression equation of silver carp myofibrillar protein solution viscosity with protein content, pH and ionic strengt

利用二次回归正交旋转试验设计,研究了蛋白质浓度、pH、离子强度对鲢鱼肌原纤维蛋白粘度的影响,建立相应的回归方程,分析比较了它们间的相互作用关系,确定了取得最优粘度时,各因素的组

Topics include comparisons of means and proportions; the normal distribution; regression and correlation; confounding; concepts of study design, including randomization, sample size, and power considerations; logistic regression; and an overview of some methods in survival analysis.

主题包括平均数和比例的比较、常态分配、回归和相关、混淆变量、研究设计的概念(包含随机、样本数与检定力的考虑);逻辑斯回归、存活分析中一些方法的概述。

Wavelength calibration coefficients were calculated through regression analysis after several ordinal numbers of CCD's pixels corresponding to Mercury-Argon Lamp's spectral lines were measured. The residuals of certain spectral lines were computed using the coefficients measured and the ones from factory, the degree of fitting for regression equation was estimated using the new coefficients. The final results validated the wavelength calibration model.

在测量了多条光谱线对应的CCD像元的序数之后,使用回归分析得到波长定标的系数,连同光谱仪出厂时的波长定标系数,计算出了两组定标系数在给定的一些谱线位置处的残差,并利用实验所得的系数对回归方程进行了拟合优度检验,结果表明波长定标模型是有效的。

The model is applied to predict the total amount of Chinese population,and the results show that nonparametric regression model is better than linear regression model,at the same time,the situation orthogonal sequence estimate is superior to k-near neighbour estimate for the dynamic relation between the total amount of Chinese population and nation...

并应用此模型对我国1952—2003年的人口总量和GDP总量进行了预测分析。结果表明:非参数回归模型优于线性回归模型,同时正交序列估计效果也优于k-近邻估计。

As to nonparametric and semiparametric regression models, the most widely used regression methods include: local smoothness, including Nadaraya-Watson kernel estimate, Gasser-Muller estimate, local polynomial method; spline method(such as smoothing spline, spline penalies and so on); other is orthogonal series estimates, such as Fourier series and so on.

本文主要介绍Nadaraya-Watson核估计方法对非参数模型估计的思路和估计方法,变系数模型中函数系数的局部多项式估计,包括估计思路,估计计算。

As to nonparametric and semiparametric regression models, the most widely used regression methods include, spline method(such as smoothing spline, penalized spline and so on); local smoothness, such as Nadaraya-Watson kernel estimate, Gasser-Muller estimate, local polynomial method; the third is orthogonal series, including Fourier series and so on.

所以三次光滑样条应用比较广泛。本文应用三次光滑样条方法来估计单指标部分线性模型中单指标参数和变系数部分线性模型中的函数系数。

At leaf scale, TJ photosynthesis model was selected and Gao stomatal conductance model was proved suitable for semi-arid region after comparing with BBL model through the parameter regression and analysis of model sensitivity. Plant physio-ecological characteristics were analyzed based on the parameters gained from the nonlinear regression using TJ model and Gao model with field experimental data. As C4 photosynthesis types Zea mays and Panicum miliaceum 's carboxylation coefficient are bigger than the others.

在叶片尺度上,选择TJ模型作为叶片尺度所使用的光合模型,并对景观模拟中经常用到的Ball-Berry模型和Gao模型进行比较,通过参数拟合和模型的敏感性分析,选择Gao模型作为叶片尺度的气孔导度模型,应用模型模拟的结果,分析了研究区主要植物种的生理生态学特性。C4光合型的玉米和糜子,羧化速率系数大,光合能力强。

From the agro-climatic statistics point of view, using the application of stepwise regression, least squares, the moving average method, the correlation coefficient, partial regression coefficient method to determine the critical period of climate sorghum and climate key factor influencing sorghum output.

方法]从农业气候统计学角度,应用逐步回归、最小二乘法、滑动平均法、相关系数、偏回归系数方法,确定高粱气候关键期和影响高粱产量的气候关键因子。

The spearman correlation coefficient was 0.308 (P<0.01) between serum proinsulin and risk factors score, and the partial correlation coefficient was 0.2095 (P<0.01) after adjustment for age, sex, body mass index and waist circumference. The results of non-conditional univariate Logistic regression and multivariate stepwise Logistic regression indicated that serum proinsulin level associated with cardiovascular risk factors aggregation, and the odds ratio (95% CI) was 1.656 (1.483~1.851), 1.652 (1.475~1.850)(p<0.01) respectively.

Spearman相关分析及调整年龄、性别、体重指数与腰围后的偏相关分析结果显示,胰岛素原水平与危险因素评分的相关系数分别为0.308与0.2095(P值均为0.000);单因素及多因素Logistic回归分析显示,胰岛素原的水平与心血管危险因素聚集显著相关,其OR值(95%可信区间)分别为1.656(1.483~1.851)、1.652(1.475~1.850)(p<0.01)。

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