两个转变时期马克思的社会革命思想及其现代性批判

马克思的社会革命思想最早起源于两个转变时期,它开启了批判资本主义现代性的先河.从起源看,社会革命思想构成了现代性批判理论的渊源.这一思想的产生,一方面是马克思自身思想发展的内在需要,另一方面是对当时社会外在环境的理论回应.从内容看,社会革命思想实现了对资本主义现代性的扬弃,具体包括:严格区分政治革命和社会革命、解释社会革命的本质是实现人的解放、揭示社会变革的主体力量是无产阶级、阐明革命阶级与革命思想之间的辩证关系.归根到底,马克思的社会革命思想中蕴含的现代性批判理念为社会主义现代化建设提供了有益的理论指导.这些思想为当代中国跨越资本主义现代性陷阱,开辟中国特色社会主义现代化道路提供了宝贵的经验.     

新时期工会工作的三个转型

坚持与时俱进,是我们党进行革命、建设和改革等各种实践活动的一贯指导方针,是赋予马克思主义生命力和创造力,指导我们事业取得成功的重要保证.因此,我们所进行的任何一项工作都必须坚持与时俱进.工会工作自然也不例外,要与时俱进,要随着形势的发展而转型.这种转型,可以概括为"三个转型",即从娱乐型转变为参政型,从福利型转变为维权型,从传统型转变为现代型.     

Tucker3 Model for Compositional Data

For the exploratory analysis of three-way data, the Tucker3 is one of the most applied models to study three-way arrays when the data are quadrilinear. When the data consist of vectors of positive values summing to a unit, as in the case of compositional data, this model should consider the specific problems that compositional data analysis brings. The main purpose of this paper is to describe how to do a Tucker3 analysis of compositional data, and to show the relationships between the loading matrices when different preprocessing procedures are used.     

Approximations to permutation distributions in the completely randomized design

The permutation distribution of a statistic T equivalent to the usual F ratio for the completely randomized design is considered. A correction to the second moment of T derived by Robinson (1983) is presented and the third and fourth moments are educed. Inadequacies in the conventional permutation distribution approximations are demonstrated.     

Simultaneous transformations and influence in regression

Influence of simultaneous transformations on the response and some of explanatory variables to the same level in the linear regression is considered. An approximate, but useful diagnostic procedure is developed for practical use. An example is then given for illustrations.     

An R package for testing goodness of fit: goft

This R package implements three types of goodness-of-fit tests for some widely used probability distributions where there are unknown parameters, namely tests based on data transformations, on the ratio of two estimators of a dispersion parameter, and correlation tests. Most of the considered tests have been proved to be powerful against a wide range of alternatives and some new ones are proposed here. The package's functionality is illustrated with several examples by using some data sets from the areas of environmental studies, biology and finance, among others.     

Fitting the generalized Pareto distribution to data based on transformations of order statistics

Generalized Pareto distribution (GPD) has been widely used to model exceedances over thresholds. In this article we propose a new method called weighted nonlinear least squares (WNLS) to estimate the parameters of the GPD. The WNLS estimators always exist and are simple to compute. Some asymptotic results of the proposed method are provided. The simulation results indicate that the proposed method performs well compared to existing methods in terms of mean squared error and bias. Its advantages are further illustrated through the analysis of two real data sets.     

从翻译适应选择论视角看葛浩文译本《狼图腾》的适应选择

胡庚申教授提出的翻译适应选择论界定了"翻译即适应与选择"的主题概念和"译者为中心"的核心理念。以翻译适应选择论为视角,探讨《狼图腾》葛浩文英译本取得成功的原因,指出它的成功是译者对翻译生态环境适应选择以及多维度适应性选择转换的结果,从而说明翻译适应选择论的强大解释功能。     

Best Invariant and Minimax Estimation of Quantiles in Finite Populations

The theoretical literature on quantile and distribution function estimation in infinite populations is very rich, and invariance plays an important role in these studies. This is not the case for the commonly occurring problem of estimation of quantiles in finite populations. The latter is more complicated and interesting because an optimal strategy consists not only of an estimator, but also of a sampling design, and the estimator may depend on the design and on the labels of sampled individuals, whereas in iid sampling, design issues and labels do not exist.We study the estimation of finite population quantiles, with emphasis on estimators that are invariant under the group of monotone transformations of the data, and suitable invariant loss functions. Invariance under the finite group of permutation of the sample is also considered. We discuss nonrandomized and randomized estimators, best invariant and minimax estimators, and sampling strategies relative to different classes. Invariant loss functions and estimators in finite population sampling have a nonparametric flavor, and various natural combinatorial questions and tools arise as a result.     

Testable hypotheses in singular fixed linear models

Hypotheses that restrict nonestimable parameters in singular (or overparameterized) fixed linear models are considered nontes table by most aothors and are not allowed by most computer packages. In this article, a different approach is taken and hypotheses are classified as completely testable, partially testable, or nontestable on the basis of the number of degrees of freedom associated with them. The convenience of this approach is illustrated with examples and by developing a related general theory of equivalent hypotheses, reparameterizations, and restrictions. A method of transforming partially testable hypotheses into equivalent completely testable hypotheses is described.