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standardized regression coefficient相关的网络例句

查询词典 standardized regression coefficient

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

The correlation analysis and stepwise regression between physiological characteristics of three species and environmental factors showed that the regression equation of Platycladus orientalis between photosynthetic rate, transpiration rate and the environment factor was P(subscript n=0.006PAR+1.176RH, E=1.120T; the regression equation of Pinus tabulae formis was P(subscript n=0.010PAR, E=1.004T+0.482RH; the regression equation of Tamarix chinensis was P(subscript n=0.015PAR, E=0.757T+0.566RH-8.397G.

对3种树的光合速率和蒸腾速率与影响因子进行相关分析及逐步回归分析表明,各树种光合速率和蒸腾速率的回归方程分别为,侧柏:P=0.006PAR+1.176RH,E=1.120T;油松:P=0.010PAR,E=1.004T+0.482RH;柽柳:P=0.015PAR,E=0.757T+0.566RH-8.397G。

The main content of the study includes: the policy variables are classified into two types, which are continuous policy variable and discrete policy variable, and the two variable is analyzed respectively; as to the continuous policy variable, use reasonable weighting to synthesize comprehensive policy indicator to reflect the comprehensiveness of each main policy indicator; undertake regression analysis for the comprehensive policy indicator, economic and stock market variable and get the effect of all kinds of comprehensive policy indictor variables on the economy and stock market; undertake regression analysis for data on the economic indicator and the data on the stock market and get the relationship between the economy and the stock market; use event research method to analyze its effect on the stock market and get some corresponding conclusions; structure the differential or difference equation groups on the interactive relationship among the variable economy, stock market and policy and do the difference operation and constitute simultaneous equation with the original main variables one after another; use quantitative regression method and solve the coefficient of the simultaneous equation to predict the operating tendency.

本研究主要内容包括:将政策变量划分为连续性政策变量和离散政策变量两个类型,并分别进行分析;对于连续性政策变量,采取合理的权重来合成政策综合指标,反映各主要政策指标的综合力度大小;将各政策综合指标与经济、股市变量进行回归分析,获得各类政策综合指标变量对经济、股市影响程度的大小;将经济指标数据与股市数据进行回归分析,获得经济与股市之间关系的大小;采取事件研究方法来分析其对股市的影响程度;构建关于经济、股市与政策各主要变量之间互动关系的微分或差分方程组,进行差分运算,并以此与原来各主要变量组成联立方程;运用计量回归方法,求出联立方程系数用于预测。

This model can analyze the regression relation between covariate and log survival time, and its form and explanation of regression coefficient is close to the general linear regression equation, the explanation of analysis results is more simple, more direct and easier to understand than that of proportional hazard function model.

AFT模型研究协变量与对数生存时间之间的回归关系,模型的形式与对回归系数的解释与一般的线性回归方程相似,而对分析结果的解释则较比例风险回归模型简单、直观,更易于理解。

The gray balance curves were obtained by the gray balance function and regression analysis. The main works: The parameters in the mathematic models were ascertained, as well as all the regression functions. The models included the relation between the ink quantity and the solid density, the relation between the gamma and printing contrast, the printing reproduction curves, the dot-gain curves and the dot-gain compensation curves. The fitting accuracies of the regression models were checked out by the correlation coefficient or multiple correlation coefficients. The effect that the ink had on the solid density and the gamma on the printing contrast were analyzed. And the methods of choosing the ink and gamma were gained.

主要工作:确定了墨量与样张实地密度、γ与相对反差、阶调复制曲线、网点扩大曲线以及网点扩大补偿曲线各自数学模型中的参数,得到了回归表达式;得到了各个回归表达式的相关系数或复相关系数,检验了回归模型的拟合程度;分析了墨量对实地密度的影响以及γ对相对反差的影响,并提出了墨量和γ的选取方法;得到了喷墨印刷质量控制的灰平衡控制、网点扩大以及扩大补偿规律。

The results showed that: with the regression analysis of Betula platyphylla, Pinus koraiensis, Abies nephrolepis, Picea koyamai var koraiensis, and Betula costata, there was a significant negative correlation between neighborhood interference index and the growth (0.40~0.89) and the correlation extent depended on the neighborhood influence zone and slope. The neighborhood influence zone corresponding to maximal regression coefficient R~2 was the neighborhood influence radius. Based on the linear subsection regression between neighborhood interference index and influence zone of five species, the neighborhood interference index increased with the increasing zone and there was a previous increasing trend in a certain scope, while the increasing trend slackened beyond the zone. The neighborhood influence zone corresponding to transition point was the neighborhood influence radius. The neighborhood interference index positively correlated with the neighborhood influence zone and the range of R~2 was 0.40-0.64. With the analysis of tree cores of Juglans mandshurica, Fraxinus mandshurica at middle and lower slope in a plot which was fostered in 1995, the distance which the growth release farthest neighborhood and object stub was judged, thus the neighborhood interference radius was inferred. According to the studies, we found that the neighborhood interference radius was different among different trees, even if the neighborhood interference radius of the identical tree species also had the difference at different slopes.

结果表明:通过对白桦、红松、冷杉、红皮云杉和枫桦树种进行邻体干扰指数与生长量回归分析发现,邻体干扰指数与生长量呈显著负相关(0.40~0.89),相关程度因邻体影响范围和坡位而异,R~2达到最大值所对应的影响范围即为邻体影响半径;通过对白桦、红松、冷杉、红皮云杉和枫桦树种进行邻体干扰指数与影响范围的线性分段拟合,邻体干扰指数随影响范围的增加而增加,其在一定的范围内上升较快,而超出该范围后上升的幅度变慢,变化的转折点所对应的影n向范围可以判定为邻体影响半径,线性回归显著(0.40~0.64);通过对1995a抚育的胡桃楸、水曲柳样树进行研究,分析邻体树种的中坡位和下坡位的生长锥芯,判断产生生长释放的最远邻木与基株树桩所对应的距离,推断邻体影响半径;根据研究发现,邻体影响半径因树种不同有一定的差异,即使同一树种的邻体影响半径在不同坡位也有一定的差异。

Regression and Correlation, coefficient of regression, method least square, coefficient of correlation and determination.

教学目的:通过学习掌握回归关系和相关关系的区别及联系,回归和相关分析的基本原理和方法。

The regression coefficient of any category was divided by the maximum regression coefficient so as to get the score of this category.

将各项指标的回归系数转换为简单分数,相加后得到每一例患者的预后评分。

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)。

Then using the method of regression analysis to seek the regression equation of Coefficient of discharge and Submerged coefficient with each influencing factors.

然后运用回归分析方法求出了流量系数、淹没系数与各自主要影响因素之间的回归方程。

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