Delphi中控件的开发

为了实现某些特殊的功能或者增加现有的控件不能完成的功能,在Delphi环境下可以在已有控件的基础上进行开发。文章讲述了新控件开发的完整过程,即创建、安装和测试的整个过程,并通过一个自己在TDecisionCube控件基础上开发的TDrillDeci-sionCube控件加以说明,这个新控件增加了一个函数GetDrillSQL,得到可以直接使用的SQL语句,直接用于钻取功能。     

人口生活质量水平综合评价

借助多元统计分析方法中的因子分析法 ,对全国 31个省市区的人口生活质量进行了综合评价和分类。中国人口生活质量表现为物质生活质量至关重要、生活环境质量也不可忽视、区域差异显著等特征     

东北、内蒙古地区林业经济发展水平的主成分分析

运用主成分分析法，借助于统计软件SAS，对1998年和2004年东北、内蒙古等八个省、区和地区的林业经济发展状况进行了综合分析，并对各地区林业经济发展进行排名，进而针对各地区林业经济的发展提出对策建议。     

从企业价值链看电网企业“三集五大”集约化管理

用企业价值链理论分析了电网企业实施“三集五大”集约化管理的内在价值链模型,厘清了“三集”和“五大”2类活动的特性及其关系,分析了“三集五大”集约化管理的内涵和意义,从组织实施、业务整合、重点选择和信息化建设等方面提出了保障措施建议。     

山秋油(Anaphalis margaritacea L)挥发成分的研究

山秋油用GC/MS分析鉴定67个成分,占全部精油的97％以上,其中未见文献报道玫瑰呋喃Rosefuran(51.66％)、环氧玫瑰呋喃Rosefuran epoxide(20.07％)为精油的主要化学成分。     

对广州市劳动力市场的分析与建议

从十四届三中全会我国正式提出“劳动力市场”一词到目前为止,社会劳动力基本实现了通过市场自主择业,面对现阶段存在一定的就业压力,而劳动力市场又是解决就业问题的关键一环,有必要对劳动力市场的影响因素进行分析,以达到完善劳动力市场,促进劳动力市场发展的目的。     

论配偶权侵权民事救济

配偶权是基于合法婚姻关系而在夫妻双方之间发生的、由夫妻醍方平等专属享有的要求对方陪伴、生活、钟爱、帮助的基本人身权。配偶权的具体内容包括同居权利义务、贞操忠实义务、夫妻姓名权、住所决定权、日常事务代理权等。我国民法对侵害配偶权的行为应当予以救济。     

产品内国际分工与中国获取的价值——基于零部件进出口的分析

中国巨大的贸易顺差引致贸易伙伴的诘难,国内外学者的实证分析却表明中国从产品内国际分工与贸易中获取的国内价值增值非常有限。产品内国际分工与贸易主要表现为零部件等中间产品的进出口,这一特征在机械运输设备和自动数据处理产业表现得尤其明显。通过计算1994—2007年零部件进出口的单位价值比率,发现中国出口零部件的单位价值远远低于相同编码进口零部件的单位价值。这意味着中国在进口大量高价值零部件从事终端产品低附加值出口加工的同时,也在制造并大量出口低价值零部件。中国激增的贸易顺差是产品内国际分工的副产品,掩盖了产品价值真实的国际分配。中国要成为真正的制造业强国并获得更大的国际分工利益,必须从提高国产零部件的价值开始。     

Random Effects Misspecification Can Have Severe Consequences for Random Effects Inference in Linear Mixed Models

There has been considerable and controversial research over the past two decades into how successfully random effects misspecification in mixed models (i.e. assuming normality for the random effects when the true distribution is non‐normal) can be diagnosed and what its impacts are on estimation and inference. However, much of this research has focused on fixed effects inference in generalised linear mixed models. In this article, motivated by the increasing number of applications of mixed models where interest is on the variance components, we study the effects of random effects misspecification on random effects inference in linear mixed models, for which there is considerably less literature. Our findings are surprising and contrary to general belief: for point estimation, maximum likelihood estimation of the variance components under misspecification is consistent, although in finite samples, both the bias and mean squared error can be substantial. For inference, we show through theory and simulation that under misspecification, standard likelihood ratio tests of truly non‐zero variance components can suffer from severely inflated type I errors, and confidence intervals for the variance components can exhibit considerable under coverage. Furthermore, neither of these problems vanish asymptotically with increasing the number of clusters or cluster size. These results have major implications for random effects inference, especially if the true random effects distribution is heavier tailed than the normal. Fortunately, simple graphical and goodness‐of‐fit measures of the random effects predictions appear to have reasonable power at detecting misspecification. We apply linear mixed models to a survey of more than 4 000 high school students within 100 schools and analyse how mathematics achievement scores vary with student attributes and across different schools. The application demonstrates the sensitivity of mixed model inference to the true but unknown random effects distribution.     

Limitations of portfolio diversification through fat tails of the return Distributions: Some empirical evidence

This study investigates the level of risk due to fat tails of the return distribution and the changes of tail fatness (TF) through portfolio diversification. TF is not eliminated through portfolio diversification, and, interestingly, the positive tail has declining fatness until a certain level is reached, while the negative tail has rising fatness. This indicates that fat tails are highly relevant to common factors on systematic risk and that the relevance of common factors is higher for the negative tail compared to the positive tail. In the portfolio diversification effect, the declining fatness of the positive tail further reduces risk, but the rising fatness of the negative tail does not contribute to this effect. The asymmetry between the fatness of the positive and negative tails in the return distribution corresponds to the asymmetry of the trade-off relationship between loss avoidance and profit sacrifice that is expected as a consequence of portfolio diversification. Investors use portfolio diversification to reduce their risk of suffering high losses, but following this strategy means sacrificing high-profit potential. Our study provides empirical confirmation for the practical limitation of portfolio diversification and explains why investors with diversified portfolios suffer high losses from market crashes. An examination of the Northeast Asian stock markets of China, Japan, Korea, and Taiwan show identical results.