瓜、桃、竹与人的出生--中国西南少数民族与日本植物崇拜神话比较

中国西南少数民族与日本民间由于风土环境及生产、生活方式的相似,在植物崇拜神话的母题情节及文化内涵方面有诸多相同或相似之处.本文从民族文化学及文学人类学角度对中国西南少数民族与日本有关瓜、桃、竹等植物崇拜神话及始祖神话进行比较研究,并说明其文化内涵.     

认同与区分——民族服饰的族群语意表达

民族服饰通常被视作一个民族十分重要的外在标识,体现并强化着族群内部的认同及与他族的区分。然而,在一些多族杂居或不同民族相邻而居的地区,族属的不同很难通过服饰的形质来判断,但这并不意味着他们之间失去了认同的依据。一方面,想象中的差异帮助他们确认彼此间的距离;另一方面,事实上的共通之处又使他们保持友好和谐的关系。于是,在族际交流的情形下,服饰的＂大同小异＂更多地成为处理＂自我＂与＂他者＂关系的一种生存策略。     

制度与能动：论新时期党的组织工作的创新发展

中国共产党的组织工作具有范围最广、角色最重、作用最稳定等特征。强制度和强能动这两个方面的因素及其配置的均衡协调是组织工作和组织部门取得重要地位的根本原因：党的组织形式和干部体制对组织工作给予了强有力的支持,组织工作的实施主体则通过积极的工作策略长期保持优势地位。在全面从严治党的条件下,组织工作在制度和能动这两个方面都发生了新的变化,规范性的制度支持进一步强化,主要表现在对干部党员的规范进一步向“德”偏移、组织手段的刚性约束以及工作覆盖面和职能的进一步扩大。而能动行动方面的相对不足,则可能导致腐败滋生和干部的不作为、多元社会对组织工作权威性的削弱以及刚性制度对工作韧性的挑战等问题。新的能动建设策略要强化激励保护功能,包括确立三个“之家”建设的重要地位,将人才工作作为组织工作的重要任务,使组织工作更加公开和透明等。     

宋代澉浦镇兴衰轨迹再探

北宋中前期,澉浦镇完成军事性质向经济性质的转变。北宋后期至南宋中前期,其经济功能进一步强化。南宋后期,澉浦镇渐趋衰落,其衰落与鲍郎盐场的分立并无直接关系,而与当时南北政权的政治军事格局转变相关。端平以后,蒙元发动灭宋战争,南北关系趋于紧张,澉浦镇作为临安门户,军事地位凸显,影响其海运事业,遂至衰落。澉浦镇的兴衰转变展现了南宋时代江浙地区通商与海防的矛盾,促使我们去反思江南市镇发展史的“延续性”问题。     

政治学视野中的黑恶势力犯罪治理

从政治学的视角来看,黑恶势力犯罪严重破坏政治秩序、诱生并加速政治治理机体的腐化、严重削弱党和政府的政治权威、降低了公众对政治治理的认同感。正是基于对当前黑恶势力犯罪严重政治危害性的深刻认识,党中央将扫黑除恶作为一项重大政治决策,以期弥补政治治理本身存在的制度缺陷,控制政治治理被黑恶势力染指的风险,阻却黑恶势力介入政治治理的途径,为治理目标的实现提供坚强的制度保障。     

Inverse Regression in Binary Response LDV Model

Sliced inverse regression, a link-free and distribution-free method, is applied to binary response limited dependent variable models. An inverse regression property of binary response LDV model is found. Based on this property, if the distributions of X _j (j = 1, 2,…, p) satisfy the linearity condition, then β can be estimated up to a positive multiplicative scalar without any assumptions on the distribution of error ε. Moreover, the estimator can be proved to be asymptotically normal based on which testing hypotheses are considered. Simulations results are reported.     

More on the Preliminary Test Estimator in Almost Unbiased Liu Regression

This article is concerned with the parameter estimation in linear regression model when it is suspected that the regression coefficients are the subspace of the equality restrictions. The objective of this article is to introduce the preliminary test almost unbiased Liu estimators (PTAULE) based on the Wald (W), the likelihood ratio (LR), and the Lagrangian multiplier (LM) tests and compare the proposed estimators in the sense of the quadratic bias and mean square error (MSE) criterion.     

PMSE performance of two different types of preliminary test estimators under a multivariate t error term

Abstract

In this paper, assuming that the error terms follow a multivariate t distribution, we derive the exact formula for the predictive mean squared error (PMSE) of two different types of pretest estimators. It is shown analytically that one of the pretest estimator dominates the SR estimator if a critical value of the pretest is chosen appropriately. Also, we compare the PMSE of the pretest estimators with the MMSE, AMMSE, SR and PSR estimators by numerical evaluations. Our results show that the pretest estimators dominate the OLS estimator for all combinations when the degrees of freedom is not more than 5.     

U-Statistics and Their Asymptotic Results for Some Inequality and Poverty Measures

U-statistics form a general class of statistics that have certain important features in common. This class arises as a generalization of the sample mean and the sample variance, and typically members of the class are asymptotically normal with good consistency properties. The class encompasses some widely used income inequality and poverty measures, in particular the variance, the Gini index, the poverty rate, the average poverty gap ratios, the Foster-Greer-Thorbecke index, and the Sen index and its modified form. This paper illustrates how these measures come together within the class of U-statistics, and thereby why U-statistics are useful in econometrics.     

Consistency for the LS estimator in the linear EV regression model with replicate observations

In this paper, we consider the following linear errors-in-variables regression model: ${\xi }_{ij}=x_i+{\delta }_{ij},{\eta }_{ij}=y_i+{\epsilon }_{ij}=\theta +\beta x_i+{\epsilon }_{ij}$, with independent identically distributed errors $({\epsilon }_{ij},{\delta }_{ij}),(j=1,2,\dots ,n_i;i=1,2,\dots )$. The strong and weak consistency for the LS estimators $\stackrel{?}{\beta }$ and $\stackrel{?}{\theta }$ of the unknown parameters $\beta ,\theta$ in this model are obtained, which weaken some known conditions and improve some known results.