Customizing Generalizations of the Kolmogorov-Smirnov Goodness-of-fit Test

This paper presents a method of customizing goodness-of-fit tests that transforms the empirical distribution function in such a way as to create tests for certain alternatives. Using the @ , g transform described in Blom(1958), one can create non-parametric tests for an assortment of alternative distributions. As examples, three new ( f , g )-corrected Kolmogorov-Smirnov tests for goodness-of-fit are discussed. One of these tests is powerful for testing whether or not the data come from an alternative that is heavier in the tails. Another test identifies whether or not the data come from an alternative which is heavier in the middle of the distribution. The last test identifies if the data come from an alternative in which the first or third quartile is far from the corresponding quartile of the hypothesized distribution. The behavior of the three new tests is investigated through a power study.     

媒体如何建构转基因技术之形象——以2010年国内重要报纸的分析为例

针对2010年国内发生的“转基因主粮商业化争论事件”,文章以2010年国内重要报纸为研究对象,采用文献研究和内容分析法对2010年1月1日到12月31日期间(共1821份样本)国内重要报纸中关于转基因报道的新闻进行定量内容分析.通过对转基因报道的数量、议题、立场和利益—风险评价等变量进行深入系统地分析,指出我国报纸媒体建构转基因技术形象的概况、特点、问题及原因,并在此基础上探讨了转基因技术形象的建构与媒体传播之间的一些关系.     

转基因生物安全立法的动力、压力、阻力探析

法律的制定是一系列力量共同作用的结果,其中既有动力,也有压力和阻力。认真厘清和分析转基因生物安全立法的动力、压力和阻力,有利于推进转基因生物安全的立法进程、提高转基因生物安全法的立法质量。     

Testing the equality of two independent regression models

In some situations, for example in agriculture, biology, hydrology, and psychology, researchers wish to determine whether the relationship between response variable and predictor variables differs in two populations. In other words, we are interested in comparing two regression models for two independent datasets. In this work, we will use the parametric and nonparametric methods to establish hypothesis testing for the equality of two independent regression models. Then the simulation study is provided to investigate the performance of the proposed method.     

Estimating the error distribution function in semiparametric additive regression models

We consider semiparametric additive regression models with a linear parametric part and a nonparametric part, both involving multivariate covariates. For the nonparametric part we assume two models. In the first, the regression function is unspecified and smooth; in the second, the regression function is additive with smooth components. Depending on the model, the regression curve is estimated by suitable least squares methods. The resulting residual-based empirical distribution function is shown to differ from the error-based empirical distribution function by an additive expression, up to a uniformly negligible remainder term. This result implies a functional central limit theorem for the residual-based empirical distribution function. It is used to test for normal errors.     

A consistent parameter estimation in the three-parameter lognormal distribution

In this work, we propose a consistent method of estimation for the parameters of the three-parameter lognormal distribution. We then discuss some properties of these estimators and show by means of a Monte Carlo simulation study that the proposed estimators perform better than some other prominent estimators in terms of bias and root mean squared error. Finally, we present two real-life examples to illustrate the method of estimation proposed.     

A new way of quantifying the symmetry of a random variable: Estimation and hypothesis testing

New measures of skewness for real-valued random variables are proposed. The measures are based on a functional representation of real-valued random variables. Specifically, the expected value of the transformed random variable can be used to characterize the distribution of the original variable. Firstly, estimators of the proposed skewness measures are analyzed. Secondly, asymptotic tests for symmetry are developed. The tests are consistent for both discrete and continuous distributions. Bootstrap versions improving the empirical results for moderated and small samples are provided. Some simulations illustrate the performance of the tests in comparison to other methods. The results show that our procedures are competitive and have some practical advantages.     

购买力平价及其在亚洲新兴市场中的实证分析

 作为最重要的汇率决定理论之一,购买力平价被广泛应用于实证研究,但是重点针对亚洲新兴市场的研究依然有限。本文对七个亚洲新兴市场进行了购买力平价理论长期均衡关系的实证检验分析。针对购买力平价理论,作者运用单位根检验和协整检验进行数据分析。数据采用1957年至2011年的汇率（以美元作为基础汇率）及季度价格水平（本文采用CPI作为价格水平指数）。实证检验结果表明购买力平价理论的长期均衡在亚洲新兴市场中均不成立。文章最后提出了一些或许会导致其不理想结论的因素,并针对文章的实证研究得出新的改进方法。     

无领导小组讨论的评分者效应分析

以大学生为研究对象,实施无领导小组讨论测评,探讨培训组与非培训组评分者的信效度差异。通过相关分析、验证性因素分析等方法检验评分者的内部一致性、评分者间信度、组间与组内差异、结构效度及效标关联效度。结果显示,培训效应对评分者影响显著,经培训与未经培训的评分者组间差异显著,培训组评分结果的效标关联效度优于非培训组。对评分者进行系统的培训能有效促进客观公正地实施测评,提高测评结果准确性。     

中日总产出波动与服务产业结构演变互动关系比较分析

通过中国和日本2000-2011年的实际经济数据,采用HP滤波方法获取周期数据,对中日总产出波动与服务产业结构演变关系进行实证分析发现：第一,分类服务产业结构演变显示,中日两国传统服务业比重呈不断下降趋势,相比传统服务业,两国现代服务业比重呈不断上升趋势;第二,周期波动和相关性检验显示,中国服务产业与总产出周期波动显著高于日本,中国现代服务业和社会服务业的失衡性发展,极有可能对传统服务业产生负效应;第三,格兰杰短期因果关系检验显示,中日服务产业和产出总量指标分别在1996-2011和1986-2011年期间存在显著的双向格兰杰因果关系,尤其“金融保险业”和“房地产、租赁与商务业”是总产出的单向格兰杰原因,因此应对中国过热的房地产服务业给予更多关注,避免在中国重现“日本失去的十年”.