查询词典 multiple regression analysis

A new method which utilize the data of electrometric titration of the known acid to establish a multiple-unit linear regression math model is proposed for the analysis of the liquid propellent in order to overcome the shortcoming of accuracy lower in available analyzing method and requiring more precious instruments in neural network method.

该方法利用已知酸的电位滴定数据建立多元线性回归数学模型，利用化学因子分解该模型，对未知样进行浓度测定。

It focuses extensively on multiple and partial regression and correlation, some uses of Chi squares, and some advanced experimental designs and data analysis, including: two- and three- factor factorial, Latin square, nested, split-plot, confounding and fractional replication experiments.

本课程进一步介绍多元回归与偏回归，复相关与偏相关，χ2的应用，和部分高级试验设计与结果分析，包括：两因素和三因素因子式试验设计与分析，拉丁方试验设计与分析，巢式试验设计与分析，裂区试验设计与分析，混杂和部分重复试验设计与分析等内容。

In order to promote the weavability of the sized yarn ,the author tested the relevant indexes of sized yarn s and greige yarns,and combined the multiple linear regression with theoretical analysis to deal with the data.

从提高浆纱可织性出发，测试了原纱和浆纱性能的有关指标，采用多元线性回归方法，对所测结果进行数据处理，得出原纱指标和浆纱指标之间的关系，同时分析了影响浆纱可织性指标的因素，从而为提高浆沙的可织性提供了理论

The Analysis shows that the bigger the variation coefficient of dependent variable,the bigger the mean square error of regression equation when the multiple correlation coefficient is definite.

分析表明，复相关系数一定时，倚变量的变差系数越大，回归方程的均方误差就越大；回归分析时，应对回归方程的误差进行分析。

GDP forecast at home and abroad Widely use multiple linear regression, time series analysis, artificial neural network theory and so on.

目前国内外GDP预测大量运用了多元线性回归、时间序列、人工神经网络等理论。

This paper is to mainly discuss the following problems which are diffieult to be solved in commodity freight volume forecast for a period of time: Variable choice and multiple coorelations; Application of the principles of combining quantitative analysis with qualitative analysis; Selection of the remarkable variables by using Multistep Regression Method; Establishment of reasonable freight volume forecast model.

本文针对总货运量预测中较难解决的问题——变量选择和多重共线性，运用定性和定量相结合原则利用逐步回归方法定量挑选显著性变量，建立理想的货运量预测模型。此外，本文在评介货流研究一般方法基础上，根据多地区货物交流目的，探讨了货流预测的方法，提出用Frator法预测货流。

Methods 3 528 students from 10 junior high schools of Nanshan District in Shenzhen City were surveyed with questionnaire, and data collected was analyzed by correlation analysis, ANOVA and multiple linear regression to compare the effect of different routes of knowledge acquired.

方法对深圳市南山区10所学校3528名中学生进行问卷调查，采用相关分析、多重线性回归分析和方差分析方法，比较各种不同知识获得途径及途径多寡对掌握艾滋病知识的影响。

Multiple linear regression equation between LST and brightness temperatures of AVHRR channels 4 and 5 was almost at the significant level (p＜0.05), and the level was not improved by adding brightness temperature of AVHRR channel 3 as a regressor. Path analysis is a statistical technique that partitions correlations into direct and indirect effects, and differentiates between correlation and causation. The results of path analysis showed that the direct effects and indirect effects of brightness temperatures of AVHRR channels 4 and 5 to LST were strong, respectively, the direct effect and indirect effects of brightness temperature of AVHRR channels 3 to LST were weak. These implied the brightness temperatures AVHRR channels 4 and 5 should be involved in retrieving LST.

多元线性回归分析结果表明，土地表面温度与AVHRR第4、5波段亮度温度间的回归方程接近5％的显著水平；通径分析的结果表明，AVHRR第4、5波段的亮度温度对土地表面温度的直接作用和间接作用均较强，而AVHRR第3波段的亮度温度对土地表面温度的直接作用和间接作用均较弱，因此，在反演土地表面温度时必须同时考虑AVHRR第4、5波段的亮度温度。

At last, the research test the logistic regression model with sample dada. The results are as the following:(1)Based on the time series dada, the financial early-warning model contains more crucial information reflecting the dada characters, so it can avoid the obvious logic problem in the other analysis such as single section dada and multi-section dada analysis. The test result indicate that the new model have a more accuracy than others.(2) the research adopt the global principal component analysis to settle the problem of multiple collinearity, so the model would be more normative and precise.(3)the early-warning model uses the backward method to regress, so it gets a terser model of only five variables, but it still has a precise forecasting ability.

通过本文研究说明：（1）建立以时序数据为基础的财务危机预警模型，提高了样本中重要财务趋势特征的信息含量，从而克服了国内外单截面及多重截面分析中普遍存在的明显逻辑问题，检验结果表明，利用时序数据建立的logistic财务危机判别模型较截面数据基础模型的判别准确率要高；（2）采用全局主成份分析方法解决了模型中因子间的多重共线性问题，这一处理使logistic回归方法应用的规范度和严谨度得到明显改善；（3）我们采用向后逐步回归的办法进行回归，使模型大大得到了简化，其中只包含五个自变量，但是它的整体预测准确性却仍然比较高，使模型更具有实用性。

We are in a real jam.

我们的麻烦大了。

Hey, it's Ahmet from India, that foreign exchange guy.

看，那是印度的阿曼特，国际交换生