| 1. | Unit root tests on time series with garch - skew - t error term
误差项的时序的单位根检验 |
| 2. | Unit root test for seasonal time series with seasonal linear trend
的时间序列模型的建立与分析 |
| 3. | Adf unit root test on time series with gjr - garch - skewt error term
利用加权对称估计量对季节性时间序列的单位根检验 |
| 4. | As usual , the unit root test is done ( with adf ) , and the ecm model is gradually adapted to the final equation
然后笔者用sas将二者合成,力求用最简单的方式最真实地反映决策约束。 |
| 5. | We test the convergence with unit root test of panel data to examine the trend of china rural development regional disparity
为了考察中国农村发展地区差距的变化趋势，我们采用面板数据单位根检验的不同方法对其收敛性进行了严格的计量检验。 |
| 6. | Numerous hairy roots were induced from protocalli on ms medium without any growth regulator . the paper electrophoresis revealed that all of the regenerated hairy roots tested synthesized the corresponding opines
原生质体分裂形成的愈伤组织在无激素ms培养基上再分化出的发状根仍具冠瘿碱合成酶活性。 |
| 7. | Firstly , in the preface part , the paper elaborate the development process and mainresearch result of panel data analysis , including basic theories and the latest researchresult about unit root test and cointegration
首先在引言部分阐述了面板数据分析理论的发展历程和主要研究成果,包括面板数据分析的基本理论以及面板数据的单位根检验和协整分析等近期热点研究领域的最新成果。 |
| 8. | In this paper , the algorithms of applying the conditions in electric power system short - term load forecasting are introduced . it also gives the algorithms of unit root test and cointegration test , which are necessary to the test of the conditions
针对预测精度的提高，本文还分析了组合预测应用于电力系统短期负荷预测的条件，指出：组合预测模型中的每个单项预测应与被预测变量具有协整关系。 |
| 9. | Frist , this paper uses unit root test and cointegration techniques to study the correlations between chinese pulic capital and private capital formation , production efficiency and economic growth under the total production function by examining the sample from1978 to 2003
本文第一个工作是在总量生产函数的框架下,以1978 - 2003年为样本期,运用单位根检验和协整分析方法研究了中国公共资本和私人资本形成、产出效率与经济增长之间的相关性。 |
| 10. | Strong the relationship of tax and economy , adjust the structure of budgetary expenditure … ) and some points need further research ( e . g . the analysis of tax structure … ) this paper adopt unit root test , cointegration test and ecm model to solve the spurious regression of traditional forecast model . var model has good forecast effect and stepwise regression can solve multicollinearity
本文在继承前辈研究成果的基础上力争有所突破,在研究方法上,针对传统税收预测模型存在的某些缺陷,采用单位根检验、协整检验及ecm模型解决困扰计量经济学界多时的伪回归问题; grange因果关系检验、 var模型被证明具有较好的预测效果;逐步回归则有效的克服了多重共线性带来的问题。 |
