| 1. | Nonlinear multiple regression analysis based on neural network
非线性多元回归分析的神经网络方法 |
| 2. | Application of multiple regression analysis to platen temperature field of electrical press
多元回归分析在电热式平板硫化机热板温度场中的应用 |
| 3. | Multiple regression analyses on psychological health levels in junior school graduates admitted senior schools
中考生心理健康水平的多因素回归分析 |
| 4. | The collected data were analyzed by descriptive statistic , one - way anova , pearson product - moment correlation , stepwise multiple regression analysis
所得资料分别以描述统计、单因子变异数分析、积差相关与多元?归进行分析。 |
| 5. | After introducing controlled variables the conclusions of the multiple regression analysis is the same and the contribution rate is the lowest out of so many factors
引入控制变量后的多元回归分析的结论相同，且其贡献率在众多因素中最低。 |
| 6. | Existing temporal component extraction method uses multiple regression analysis ( mra ) after the application of temporal pca to estimate the amplitude of resultant components and thus made it up
现有的时间成分提取法在进行时间pca之后，利用重回归分析来估计成分的波形和振幅，从而弥补了这一缺陷。 |
| 7. | The influence from moisture deficit on the crops is analyzed with the test data , and the parameters for the model of the function of moisture production are deduced with the method of multiple regression analysis
结合试验数据分析水分亏缺对作物产量的影响，采用多元回归分析法求解水分生产函数模型参数。 |
| 8. | Multiple regression analysis is more amenable to ceteris paribus analysis because it allows us to explicitly control for many other factors that simultaneously affect the dependent variable
多元回归分析更适合于其它条件不变情况下的分析，因为多元回归分析允许我们明确地控制许多其它也同时影响因变量的因素。 |
| 9. | The power of multiple regression analysis is that it allows us to do in non - experimental environments what natural scientists are able to do in a controlled laboratory setting : keep other factors fixed
多元回归分析的优势在于它使我们能在非实验环境中去做自然科学家在受控实验中所能做的事情：保持其它因素不变。 |
| 10. | Based on the systematical and comprehensive survey on the factors of librarians ' work satisfaction , a model whose dependent factor is librarians ' work satisfaction has been established by means of a multiple regression analysis
摘要本文以多元线性回归为数据分析手段，在系统考察当今图书馆员工作满意度影响因素的基础上，建立了以工作满意度为因变量的回归模型。 |
