| 1. | The estimation of covariance matrix on the extensive growth curve model with covariate variables 有协变量的推广增长曲线模型中协差阵的估计 |
| 2. | The minimum norm estimation of covariance matrix in the extended growth curve model with covariant variables 有协变量的推广增长曲线模型中协差阵的最小模估计 |
| 3. | Estimation of unknown regression coefficient matrices in the extension of the growth curve model with covariate variables 有协变量的推广增长曲线模型回归参数的估计 |
| 4. | Assessment of receiver operator character curve on the diagnostic value of cardiac troponin t in acute myocardial infarction 临床试验中评价处理效应的协变量调整问题 |
| 5. | When the dimension number of covariates increases with the sample size , conventional empirical likelihood inference becomes invalid 当协变量的维数随样本量增加时,常规的经验似然推断失效。 |
| 6. | With regard to the relationship between physique and urban - rural factors , the f value decreased significantly when family income per capita was taken as a covariate , while the f values slightly decreased also when factors of latitude etc . were taken as covariates 多因素分析讨论时,当协变量家庭人均收入投入后,体格的城乡因素的f值明显变小,而协变量自然环境因素投入后变化却不十分明显。 |
| 7. | ? there were extremely significant difference on average home range of male and female voles in different treatment populations ( t = 6 . 251 , p o . 001 ) , and the population mnka were extremely significant correlation with the home range of male voles ( r = - 0 . 724 , p = 0 . 000 ) and female voles ( r = - 0 . 814 , p = 0 . 000 ) Si4 , p 0刀00人以体重及种群最小存活数为协变量的ancova表明,种群最小存活数对巢区具有极显著的独立作用( f二18 331 , p一0刀00人而体重的作用则不显著( f 1 876 。 |
| 8. | First , based on the historical data of 20 years of henan province , the cloud seeding operation cases in april and october in the central region of henan province were evaluated by cluster - analysis - based floating control historical regression method with uniform precipitation and atmospheric precipitable water as meteorological covariates , cluster - analysis - based floating control historical regression method with uniform precipitation as meteorological covariate , and floating control historical regression method ( fcm ) 首先,根据河南省近20年的历史资料,分别用以降水量为协变量的ca - fcm方法、以降水量和整层大气可降水量为协变量的ca - fcm方法和浮动对比区历史回归统计检验方法( fcm ) ,对河南省4月和10月增雨作业进行评估。 |
| 9. | Three evaluation methods for the nonrandomized precipitation enhancement operation effects have been developed based on the regional rainfall control and meteorologit cal covariable correlation : dopple ratio analysis evaluation method using regional rainfall ten - dency control for single cloud seeding operation case ; regression analysis evaluation effects on the bases of regional correlation and developing tendency of rainfall ; and multiple regression analysis with meteorological and physical covariables 本文根据区域趋势控制和气象-物理协变量相关设计了三套非随机化人工增雨作业效果评估方案:个例作业区域趋势对比双比分析评估方案、区域趋势相关回归分析评估方案和气象-物理协变量多元回归分析评估方案。 |
| 10. | Then , six evaluation methods ( double ratio analysis evaluation method using regional rainfall tendency control for single cloud seeding operation case , regression analysis evaluation effects on the bases of regional correlation and developing tendency of rainfall , multiple regression analysis evaluation effects on the bases of regional developing tendency of rainfall , cluster - analysis - based floating control historical regression method with uniform precipitation and atmospheric precipitable water as meteorological covariates , cluster - analysis - based floating control historical regression method with uniform precipitation used as meteorological covariate , and float ing control historical regression method ) were compared and analyzed with the case of the cloud seeding operation on 5 april 2002 in henan province 然后,以河南省2002年4月5日飞机增雨作业为个例,对作业区域趋势对比双比分析评估方案、区域趋势相关回归分析方案、区域趋势多元回归分析方案、以降水量为协变量的ca - fcm方法、以降水量和整层大气可降水量为协变量的ca - fcm方法和fcm方法6种评价方案进行分析比较。 |