关于俄罗斯灵魂的对话——高尔基与别尔嘉耶夫民族文化心理观的比较考察

俄罗斯作家高尔基和宗教哲学家别尔嘉耶夫都曾就俄罗斯民族灵魂的双重性、民族心理和民族命运的关系、集体主义和个性主义等问题分别进行过探讨,其观点和结论远不是一致的,但又具有某些联系和交叉,从而构成一种既彼此冲突、又互补互释的对话格局.考察他们各自的见解及其对话关系.对于深入认识20世纪前期俄罗斯文学精神与思想成果,有着显而易见的意叉.     

新世纪学报工作的发展研究

形势的发展,要求学报进行创新式的工作,将学报的发展与市场经济建设相联系;由此,大推进式的建构学报工作的新路径。     

中西部地区生殖健康家庭保健服务能力建设项目调查报告

利用定量与定性调查法,在国家计生委＂中西部项目＂试点中的江西省吉安县、重庆市永川区和海南省澄迈县,对服务对象的健康知识与行为以及他们对家庭保健服务的评价进行了调查研究。调查结果显示：群众健康知识的普及及健康行为基本形成 家庭保健服务拓展了人口计生部门的服务内容和范围 干群关系更加融洽,有利于和谐社会的构建。     

词语语义加工中N400影响因素研究述评

作为语义加工大脑指标的N400成分受多种因素的影响。研究者从词类、词频、拼写相似性、语义关联、词语具体性、语境以及词汇隐喻等方面对词语语义加工中影响N400成分的因素进行了大量的研究。然而，这些研究对词语的出现条件进行了严格的限制：对词语列表中的词语的考察脱离了语境的制约，对完形填空中词语出现概率的考察受到句法结构的制约。本文对这些影响N400成分的因素进行了评述，建议该领域的研究重点可以倾向于脱离句法结构的条件限制，考察不同结构中词语或词语组合的语义加工过程，倾向于词语语义加工的跨语言渗透，并提出在词汇学习或教学中遴选词语的策略和语境制约的作用。     

Interval estimation in discriminant analysis for large dimension

This paper is concerned with the interval estimation for the log odds of the posterior probability that the observation vector belongs to one of two homoscedastic multivariate normal distributions (Π₁ and Π₂). We give the limiting distribution of the unbiased estimator for the log odds as the sample sizes and the dimension jointly tend to infinity, and approximate the confidence interval based on the asymptotic distribution. Small-scale simulations are performed to check the precision of the approximation.     

A Comparison of Survival Function Estimators in the Koziol–Green Model

In this paper, three competing survival function estimators are compared under the assumptions of the so-called Koziol– Green model, which is a simple model of informative random censoring. It is shown that the model specific estimators of Ebrahimi and Abdushukurov, Cheng, and Lin are asymptotically equivalent. Further, exact expressions for the (noncentral) moments of these estimators are given, and their biases are analytically compared with the bias of the familiar Kaplan–Meier estimator. Finally, MSE comparisons of the three estimators are given for some selected rates of censoring.     

Estimation with right‐censored observations under a semi‐Markov model

The semi‐Markov process often provides a better framework than the classical Markov process for the analysis of events with multiple states. The purpose of this paper is twofold. First, we show that in the presence of right censoring, when the right end‐point of the support of the censoring time is strictly less than the right end‐point of the support of the semi‐Markov kernel, the transition probability of the semi‐Markov process is nonidentifiable, and the estimators proposed in the literature are inconsistent in general. We derive the set of all attainable values for the transition probability based on the censored data, and we propose a nonparametric inference procedure for the transition probability using this set. Second, the conventional approach to constructing confidence bands is not applicable for the semi‐Markov kernel and the sojourn time distribution. We propose new perturbation resampling methods to construct these confidence bands. Different weights and transformations are explored in the construction. We use simulation to examine our proposals and illustrate them with hospitalization data from a recent cancer survivor study. The Canadian Journal of Statistics 41: 237–256; 2013 © 2013 Statistical Society of Canada