| 1. | Discussion on statistic of one - sided u - test
检验统计量的讨论 |
| 2. | Reason no . 1 : we may prefer to report the usual ols standard errors and test statistics unless there is evidence of heteroskedasticity
理由1 ：除非有证据显示异方差存在，我们仍会偏好于常规ols的标准差及检验统计量。 |
| 3. | The limit distributions of estimators and likelihood ratio test are given , the strong consistency of estimators is also proved
证明估计的强相合性和渐近正态性，给出似然比检验统计量的极限分布，并讨论基于精确分布的检验问题。 |
| 4. | The limiting distribution of the test under null hypothesis is obtained . the number of change points can be estimated via the test procedure . we showed that the estimator is consistent
在原假设下得到检验统计量的极限分布；在假设检验过程中得到变点个数与变点位置的估计，并证明估计的一致性。 |
| 5. | Since in many situations the error term is not normally distributed , it is important to know the asymptotic properties ( large sample properties ) , i . e . , the properties of ols estimator and test statistics when the sample size grows without bound
由于在很多情形下误差项可能呈现非正态分布，了解ols估计量和检验统计量的渐近性，即当样本容量任意大时的特性就是重要的问题。 |
| 6. | A new sign test based on double - ranked set sampling is proposed , and its asymptotic distribution was obtained ; and the asymptotic efficiency relative to under srs and rss was discussed , which show that this test had higher efficiency
摘要提出基于重排序集抽样的符号检验，给出相应的极限分布，并讨论了相对于基于简单随机抽样和排序集抽样的符号检验统计量的渐近效率，得出此检验具有较高的功效。 |
| 7. | Secondly , in foundation described basic theories model of the panel data analysis , the article built up the general block linear model expression form of panel data analysismodel . deduced parameter estimation and hypothesis test statistic and its probabilitydistribution
其次在叙述面板数据分析基本理论模型的基础上,建立了面板数据分析模型的一般分块线性模型的表达形式,并推导了参数估计量和假设检验统计量。 |
| 8. | We survey external methodology papers about long - run event studies , and focus on analyzing and introducing " the choices of expected return models ( or return benchmark ) " , " the approaches to measure abnoumal performance " , and " the empirical power and specification of test statistics "
摘要本文对国外长期事件研究方法论文献进行了全面的梳理，并着重介绍和分析了期望收益模型（或收益基准）选择、异常收益度量，以及检验统计量的设定与检验力等。 |
| 9. | Our results show that as for which expected return models or approaches to measure abnormal performance - aar ( or car ) and bhar is more appropriate , and whether test statistics being misspecificated , there are different answers from the academic field , and the controversies still continue
研究发现，在各期望收益模型、两种度量异常收益方法aar （或car ）与bhar的选择，以及各检验统计量是否存在错误设定等问题上，国外学界并未达成共识，争论仍在继续。 |
| 10. | 2 . according to the characteristic of airborne gravity survey , several statistic variables are derived from theory of probability and mathematical statistics combined with knowledge of errors principles . these statistic variables are applie to the significance test of systematic errors in every surveying line
2 、根据概率论和数理统计的理论与方法及误差理论，结合航空重力测量的特点，建立了有关检验统计量，并将其应用于航空重力测量测线系统误差的显著性检验。 |
