小波分析在管理数据处理中的应用

提出了一种基于小波变换的管理数据处理方法，把公司管理上的数据看成一个非平稳的时间序列，利用小渡函数将该时间序列分解到不同的频率通道上，然后将分解后的信号当作近似的平稳时间序列，用一些传统的统计方法进行预测，同时对中国足球彩票若干期的销售量数据进行了处理和预测，并将结果与实际销量以及用传统的AR模型的预测值进行了比较。     

论文化链接下的语言研究

“文化——语言”研究是一种立足于语言学而又导入了文化因素的语言研究方式,故称为文化链接下的语言研究。本文分析了这种语言研究方式的类型及主要研究方法,并且在对以往的“文化——语言”研究进行评价的基础上,提出对这项研究的深层思考。     

英汉句法的比较和转换

英汉句法存在三种最基本的差异 ,即树型结构和线型结构、形合法和意合法以及句子界线的差异。在此基础上 ,着重介绍英汉互译过程中的三种转换方法     

A sociolinguistic application of Bakhtin's authoritative and internally persuasive discourse

Through the use of two central Bakhtinian concepts, authoritative and internally persuasive discourse (word), this paper examines the tension between the ideology of linguistic hegemony as a source of power in the Greek public sphere and the condition of language shift faced by the Albanian‐speaking communities of modern Greece. I argue here that a cautious application of these two notions, which are relevant to linguistic ideology, can reveal crucial aspects of two processes: that of subordination to and that of questioning of the dominant linguistic ideology by local Albanian‐speaking communities. Thus, in language shift contexts, it is possible that no simple relations obtain that place social agents in unquestionable and easily predictable positions. Such an approach proves useful for the sociolinguistic study of threatened language communities.     

阜新经济转型发展方向研究

在分析总结法国洛林和德国鲁尔等地区煤炭产业转型的成功经验基础上,对阜新与国外煤炭产区的经济转型进行了宏观对比分析,并根据阜新实际,对经济转型的接续产业和劳动力转移途径进行了研究探讨。在此基础上,提出了阜新经济转型重点应向现代农业和现代服务业转移,调整优化第二产业,并就经济转型中的劳动力就业、转型资金筹集和环境保护等问题提出了政策和措施建议。     

震荡与冲突：近代中国社会结构转型探析

中国传统社会结构乃是权威—依附模式。鸦片战争以后 ,随着家族中心主义的动摇、阶级的裂变和改组、社会群体的嬗变与激增以及沿海与内地、城市与乡村二元格局的出现 ,近代中国社会结构呈现出从宗法社会到二元结构社会转型的态势。     

Kurtosis modelling by means of the J-transformation

Summary: The H–family of distributions or H–distributions, introduced by Tukey (1960; 1977), are generated by a single transformation of the standard normal distribution and allow for leptokurtosis represented by the parameter h. Alternatively, Haynes et al. (1997) generated leptokurtic distributions by applying the K–transformation to the normal distribution. In this study we propose a third transformation, the so–called J–transformation, and derive some properties of this transformation. Moreover, so-called elongation generating functions (EGFs) are introduced. By means of EGFs we are able to visualize the strength of tail elongation and to construct new transformations. Finally, we compare the three transformations towards their goodness–of–fit in the context of financial return data.     

Generalized additive models for location, scale and shape

Summary.  A general class of statistical models for a univariate response variable is presented which we call the generalized additive model for location, scale and shape (GAMLSS). The model assumes independent observations of the response variable y given the parameters, the explanatory variables and the values of the random effects. The distribution for the response variable in the GAMLSS can be selected from a very general family of distributions including highly skew or kurtotic continuous and discrete distributions. The systematic part of the model is expanded to allow modelling not only of the mean (or location) but also of the other parameters of the distribution of y , as parametric and/or additive nonparametric (smooth) functions of explanatory variables and/or random-effects terms. Maximum (penalized) likelihood estimation is used to fit the (non)parametric models. A Newton–Raphson or Fisher scoring algorithm is used to maximize the (penalized) likelihood. The additive terms in the model are fitted by using a backfitting algorithm. Censored data are easily incorporated into the framework. Five data sets from different fields of application are analysed to emphasize the generality of the GAMLSS class of models.     

Horwitz's rule, transforming both sides and the design of experiments for mechanistic models

Summary. The paper develops methods for the design of experiments for mechanistic models when the response must be transformed to achieve symmetry and constant variance. The power transformation that is used is partially justified by a rule in analytical chemistry. Because of the nature of the relationship between the response and the mechanistic model, it is necessary to transform both sides of the model. Expressions are given for the parameter sensitivities in the transformed model and examples are given of optimum designs, not only for single-response models, but also for experiments in which multivariate responses are measured and for experiments in which the model is defined by a set of differential equations which cannot be solved analytically. The extension to designs for checking models is discussed.     

How culture influences foreign trade: evidence from the U.S. and China

Using a gravity model of trade and the U.S. and Chinese panel data, I present evidence that supports the views that linguistic links have become more important in foreign trade than geographical proximity and that linguistic influence on trade is more significant in China than in the U.S. The estimated result based on a broad panel of economies shows little overall relation between religious similarity and foreign trade in both the U.S. and China. But there is an indication that the religious dissimilarity tends to retard foreign trade with poor countries and regions and to encourage foreign trade with richer places. I also found that, although religious retardation on foreign trade is more significant in China than in the U.S., religious dissimilarity tends to retard the US export more than that of China; by contrast, it tends to retard the Chinese import more than that of the U.S. At last, the socio-economic implications of the estimated results are discussed.