Testing symmetry under a skew Laplace model

We develop tests of hypothesis about symmetry based on samples from possibly asymmetric Laplace distributions and present exact and limiting distribution of the test statistics. We postulate that the test statistic derived under the Laplace model is a rational choice as a measure of skewness and can be used in testing symmetry for other, quite general classes of skew distributions. Our results are applied to foreign exchange rates for 15 currencies.     

从经济学视角谈科学育才之路

在现阶段高校毕业生面临着社会对他们的有效需求不足的问题,从而必须面对社会对高素质人才的需求同高校毕业生供给相对过剩这一结构性供需矛盾。本文从经济学角度分析产生这种矛盾的原因,进而提出只要高校学生工作措施得当,政策有针对性,就有可能缓解上述供需矛盾。     

The econometrics of female labor supply and children

This is a survey of applied econometric research on the effects of children on female labor supply. Reasons for interest in the topic, and a basic model and terminology, are reviewed. Concerns are raised about the possible endogeneity of child status variables, and about the instrumental variables approach for dealing with this problem. Alternative ways of conceptualizing and estimating child status effects are considered, together with selected empirical evidence. Relevant developments from the household demand literature are summarized. Basic issues of model choice are also discussed.     

女人—妻子—母亲:新时期谢晋电影的经典表述

谢晋在新时期的最先动作是把 (女 )英雄 (女 )战士塑造成性别意义上的女性 ;在家庭中她们以“落难”男性的伴侣和精神上的母亲的双重身份承担着拯救功能 ;而生儿育女则是对家庭的另一种方式的拯救     

模糊语言的独特功能

本文对模糊语言的独特功能从日常生活、文学作品、科学医学三方面进行了探讨 ,从而阐明在自然语言中 ,模糊语言是绝对的、普遍的。语言的模糊性缘于客观事物本身的模糊性及人们对客观世界认识的不确定性。     

试析高校院系资料室的隐性功能

信息时代中 ,由于网络在查找资料上的方便与快捷 ,已经对当前高校的院系资料室形成较大的冲击 ,资料室存在的合理性因此受到质疑。然而 ,笔者认为网络可以取代的只是资料室的显性功能 ,而资料室本身所具有的隐性功能则是网络所无法替代的。本文主要以资料室的隐性功能的阐释为出发点 ,认为环境与交往是资料室隐性功能发挥的重要机制 ,进而剖析高校院系资料室隐性功能的具体体现     

国外生态税实践及其对我国可持续发展建设的启示

初步探讨了生态税在可持续发展中的作用,认为对于正在实施可持续发展战略的中国来说,课征生态税是实现这个战略的重要手段。     

国内专利情报研究综述

本文从专利情报的作用、分析、工作等六个研究热点对国内的专利情报研究进行了较为全面地总结和概括,并对研究的不足之处提出了自己的看法。     

突出创新思维培养 强化综合素质教育——艺术设计教育教学改革探讨

本文分析了当前艺术设计教育普遍存在的问题,强调艺术设计教学的特殊性,提出了艺术设计人才培养的新思路、新办法。     

Estimation of global temperature fields from scattered observations by a spherical-wavelet-based spatially adaptive method

Summary.  The paper considers the problem of estimating the entire temperature field for every location on the globe from scattered surface air temperatures observed by a network of weather-stations. Classical methods such as spherical harmonics and spherical smoothing splines are not efficient in representing data that have inherent multiscale structures. The paper presents an estimation method that can adapt to the multiscale characteristics of the data. The method is based on a spherical wavelet approach that has recently been developed for a multiscale representation and analysis of scattered data. Spatially adaptive estimators are obtained by coupling the spherical wavelets with different thresholding (selective reconstruction) techniques. These estimators are compared for their spatial adaptability and extrapolation performance by using the surface air temperature data.