文学的困惑及文学“灵韵”的复归——“80后”文学现象透析

“80后”写作是一个不容忽视的现象，虽然其文学追求被商业运作所掩盖，但对其进行文学上的发现，却能洞悉消费时代里文学的困惑，并给文学如何拨开迷雾找到自己的方向提供一种可能的答案——“灵韵”复归。     

区域合作发展中的“中心—边缘”系统浅析

当今,区域合作已成为我国区域经济发展的趋势所在。在区域非均衡基础之上,满足一致性与差异性统一的区域合作,必然要建立"中心—边缘"系统,通过非均衡发展最终走向区域协调,从而在区域经济发展上实践构建和谐社会的思想。     

Life Satisfaction of Adolescents in Hunan,China: Reliability and Validity of Chinese Brief Multidimensional Students’ Life Satisfaction Scale (BMSLSS)

The concept of poverty has gone beyond the monetary attributes to cover several dimensions directly influencing the level of individuals’ socio-economic status. Based on this methodological advancement, this study aims to approximate the deprivation of education, health and housing facilities to analyze the incidence of multidimensional poverty (MDP) at regional levels in the Sindh province of Pakistan. Findings revealed that the magnitude of MDP varies significantly across the regions due mainly to the variation in the deprivation levels of socio-economic aspects. Furthermore, the magnitude of MDP is higher in rural areas than urban areas in each region.     

武汉市“80后”青年的住房购买力研究

通过分析"80后"的内涵和特征并进行实地调研获得武汉市"80后"青年的住房现状、住房消费心理及偏好等基本信息,运用房价收入比模型计算出"80后"青年可承受的合理购买力区间以及个人和整体对新建商品房、经济适用房和二手房3类住房的购买力水平,对其住房购买力现状进行评价,以期为房地产市场的发展提供参考。研究表明,78.43%的"80后"青年能够在其偏好水平下形成有效购买力,且在他人财富馈赠的影响下,"80后"青年整体上能够对市场上各类住房消费需求形成有效的购买力。同时,通过分析影响"80后"住房购买力的主导因素,得出他人财富馈赠对其住房购买力有显著的影响。     

中国语言类学术集刊的发展现状及趋势分析

根据中国社会科学评价中心集刊调查材料,参照中国国家数字图书馆公布的信息,对语言类集刊从出版概况、内容、年代分布、地区分布、创办主体等方面进行全面调查,并剖析语言类集刊在学术规范和影响方面的情况,对语言类集刊的发展趋势进行展望。     

Preliminary Goodness-of-Fit Tests for Normality do not Validate the One-Sample Student t

One of the most basic topics in many introductory statistical methods texts is inference for a population mean, μ. The primary tool for confidence intervals and tests is the Student t sampling distribution. Although the derivation requires independent identically distributed normal random variables with constant variance, σ², most authors reassure the readers about some robustness to the normality and constant variance assumptions. Some point out that if one is concerned about assumptions, one may statistically test these prior to reliance on the Student t. Most software packages provide optional test results for both (a) the Gaussian assumption and (b) homogeneity of variance. Many textbooks advise only informal graphical assessments, such as certain scatterplots for independence, others for constant variance, and normal quantile–quantile plots for the adequacy of the Gaussian model. We concur with this recommendation. As convincing evidence against formal tests of (a), such as the Shapiro–Wilk, we offer a simulation study of the tails of the resulting conditional sampling distributions of the Studentized mean. We analyze the results of systematically screening all samples from normal, uniform, exponential, and Cauchy populations. This pretest does not correct the erroneous significance levels and makes matters worse for the exponential. In practice, we conclude that graphical diagnostics are better than a formal pretest. Furthermore, rank or permutation methods are recommended for exact validity in the symmetric case.     

A Decomposition of Copulas and Its Use

ABSTRACT

In this article, we create a decomposition that represents and describes the depen-dence structure between two variables. Since copulas provide a deep understanding of the dependence structure by eliminating the effects of the marginals, they play a key role in this study. We define a discretized copula density matrix and decompose it into a set of permutation matrices by using the Birkhoff–von Neumann theorem. This decomposition provides a way to effectively apply the concepts of copulas to solve problems in multivariate statistical data analysis.     

A Unified Method for Checking Compatibility and Uniqueness for Finite Discrete Conditional Distributions

Checking compatibility for two given conditional distributions and identifying the corresponding unique compatible marginal distributions are important problems in mathematical statistics, especially in Bayesian inferences. In this article, we develop a unified method to check the compatibility and uniqueness for two finite discrete conditional distributions. By formulating the compatibility problem into a system of linear equations subject to constraints, it can be reduced to a quadratic optimization problem with box constraints. We also extend the proposed method from two-dimensional cases to higher-dimensional cases. Finally, we show that our method can be easily applied to checking compatibility and uniqueness for a regression function and a conditional distribution. Several numerical examples are used to illustrate the proposed method. Some comparisons with existing methods are also presented.     

Bayesian Inference for the Precision Matrix for Scale Mixtures of Normal Distributions

Baysian inference is considered for the precision matrix of the multivariate regression model with distribution of the random responses belonging to the multivariate scale mixtures of normal distributions. The posterior distribution and some identities involving expectations taken with respect to this posterior distribution are derived when the prior distribution of the parameters is from the conjugate family. The results are specialized to the case where the random responses have a matrix-t distribution and thus generalizing the results of Zellner (1976 Zellner , A. ( 1976 ). Bayesian and non-Bayesian analysis of the regression model with multivariate Student-t error terms . J. Amer. Statist. Assoc. 71 : 400 – 405 .[Taylor & Francis Online], [Web of Science ®] , [Google Scholar]) and Muirhead (1986 Muirhead , R. J. ( 1986 ). A note on some Wishart expectations . Metrika 33 : 247 – 251 .[Crossref] , [Google Scholar]).