萧红与20世纪中国女性文学

萧红是20世纪中国女性文学最杰出的代表性作家之一,与冰心、丁玲、张爱玲等作家相比,其独特性和不可替代性主要表现为三点第一,没有局限于知识女性的狭窄视野,避免陷入女性文学的精英主义误区,自觉为中国最广大下层女性代言,执著关注中国下层妇女的生存状态和人生悲剧;第二,始终如一地坚持以女性视角和女性生命体验来描绘普通女性生存真相并对她们寄寓着深切悲悯,体现出独立、清醒、深刻的现代女性意识;第三,拓展、丰富、深化了20世纪中国女性文学的表现内涵,提高了其审美品格.     

20世纪清代学术史研究回顾

20世纪清代学术史的研究历程可分为三个阶段。前半期 ,梁启超、钱穆等资产阶级史学家在研究中 ,力戒门户之见 ,注重揭示各种学术思潮与流派兴衰的内在因果关系 ,重视汇通中西文化的学术思想及方法论的探讨 ;中后期 ,以侯外庐等为代表的马克思主义史学家用历史唯物主义的理论和方法 ,清理发掘了清代学术史中丰富的思想文化遗产 ;近二十年来 ,清代学术史研究取得了辉煌的成就 ,开拓了许多新的研究领域 ,内容涉及对清代学术史的专题研究 ,也有对清代某个学者的个案研究     

A class of count models and a new consistent test for the Poisson distribution

We define a class of count distributions which includes the Poisson as well as many alternative count models. Then the empirical probability generating function is utilized to construct a test for the Poisson distribution, which is consistent against this class of alternatives. The limit distribution of the test statistic is derived in case of a general underlying distribution, and efficiency considerations are addressed. A simulation study indicates that the new test is comparable in performance to more complicated omnibus tests.     

Lower bounds on expectations of positive L-statistics from without-replacement models

We consider samples drawn without replacement from finite populations. We establish optimal lower non-negative and upper non-positive bounds on the expectations of linear combinations of order statistics centered about the population mean in units generated by the population central absolute moments of various orders. We also specify the general results for important examples of sample extremes, Gini mean differences and sample range. The paper completes the results of Papadatos and Rychlik [2004. Bounds on expectations of L-statistics from without replacement samples. J. Statist. Plann. Inference 124, 317–336], where sharp negative lower and positive upper bounds on the expectations of the combinations were presented for the without-replacement samples.     

Wilcoxon–Mann–Whitney test for stratified samples and Efron's paradox dice

Two-treatment multi-center clinical trials are the most common type of clinical trials in practice. The aim of this paper is to discuss a curious property of certain standard nonparametric procedures used in the analysis of such clinical trials. Different analyses of a simulated data example are presented, which lead to contrasting and surprising results. The source of the potentially misleading outcome is then explored while relating the simulated data with the concept of Efron's paradox dice and the notion of nontransitivity. With the root of the problem established, an alternate nonparametric method from the literature is shown to address the problem. Finally, pointing out an interpretational concern of using the alternate procedure, a modification to this procedure is also suggested and corresponding theoretical results are presented.     

Two-stage Huber estimation

In this paper we propose a new robust estimator in the context of two-stage estimation methods directed towards the correction of endogeneity problems in linear models. Our estimator is a combination of Huber estimators for each of the two stages, with scale corrections implemented using preliminary median absolute deviation estimators. In this way we obtain a two-stage estimation procedure that is an interesting compromise between concerns of simplicity of calculation, robustness and efficiency. This method compares well with other possible estimators such as two-stage least-squares (2SLS) and two-stage least-absolute-deviations (2SLAD), asymptotically and in finite samples. It is notably interesting to deal with contamination affecting more heavily the distribution tails than a few outliers and not losing as much efficiency as other popular estimators in that case, e.g. under normality. An additional originality resides in the fact that we deal with random regressors and asymmetric errors, which is not often the case in the literature on robust estimators.     

Generalized Laplacian approximations in Bayesian inference

This paper presents a new Laplacian approximation to the posterior density of η = g(θ). It has a simpler analytical form than that described by Leonard et al. (1989). The approximation derived by Leonard et al. requires a conditional information matrix R_η to be positive definite for every fixed η. However, in many cases, not all R_η are positive definite. In such cases, the computations of their approximations fail, since the approximation cannot be normalized. However, the new approximation may be modified so that the corresponding conditional information matrix can be made positive definite for every fixed η. In addition, a Bayesian procedure for contingency-table model checking is provided. An example of cross-classification between the educational level of a wife and fertility-planning status of couples is used for explanation. Various Laplacian approximations are computed and compared in this example and in an example of public school expenditures in the context of Bayesian analysis of the multiparameter Fisher-Behrens problem.     

论20世纪中国文学的古典性

20世纪中国文学是伴随着20世纪中国社会的思想革命、政治革命、经济革命和文化革命,承接着具有两千多年深厚文化底蕴的中国古典文学传统发展起来的。由于这些现代革命的不彻底性,中国文化和文学中的古典审美思想和美学诉求并没有得到根本改造,而作为新的审美诉求的现代性质素始终没有得到健康持续的培育,这使得20世纪中国文学呈现出较浓的载道性、外向功利性和正剧色彩三大古典审美特征。     

Test for homogeneity in Hardy–Weinberg normal mixture model

The phenotype of a quantitative trait locus (QTL) is often modeled by a finite mixture of normal distributions. If the QTL effect depends on the number of copies of a specific allele one carries, then the mixture model has three components. In this case, the mixing proportions have a binomial structure according to the Hardy–Weinberg equilibrium. In the search for QTL, a significance test of homogeneity against the Hardy–Weinberg normal mixture model alternative is an important first step. The LOD score method, a likelihood ratio test used in genetics, is a favored choice. However, there is not yet a general theory for the limiting distribution of the likelihood ratio statistic in the presence of unknown variance. This paper derives the limiting distribution of the likelihood ratio statistic, which can be described by the supremum of a quadratic form of a Gaussian process. Further, the result implies that the distribution of the modified likelihood ratio statistic is well approximated by a chi-squared distribution. Simulation results show that the approximation has satisfactory precision for the cases considered. We also give a real-data example.