民国时期江南农村信用合作社述论

上世纪二三十年代 ,为挽救江南农村经济 ,在国民党政府的倡导下 ,江南农村信用合作社兴起并发展起来。江南农村信用合作社在组织、经营和监督上有自身的特点 ,它对江南农村经济的复苏起了一定的作用 ,但不能从根本上解决江南农村经济中存在的问题。     

价值重估的尺度──论五四人学思想及其现代意义

五四新文化运动是一场价值重估运动。五四新文化运动重估一切价值的尺度是什么？在这个问题上，中国学界一直缺乏必要的认识，因而导致了对新文化运动阐释的许多混乱。其实，五四新文化先驱者们的实践早已证明：人，是五四新文化运动的基本出发点和最终目的，也是重估一切价值的最高价值尺度。五四新文化运动的先驱者们用以比较和判断东西方文明优劣的价值标准不是别的，是个人的独立、自由和权利。这是新文化运动的基本态度，因此也决定了新文化运动的根本性质。正因为这样，新文化运动才在中国文化史上具有了划时代的意义。     

On the asymptotic normality of the L1- and L2-errors in histogram density estimation

The L₁ and L₂-errors of the histogram estimate of a density f from a sample X₁,X₂,…,Xn using a cubic partition are shown to be asymptotically normal without any unnecessary conditions imposed on the density f. The asymptotic variances are shown to depend on f only through the corresponding norm of f. From this follows the asymptotic null distribution of a goodness-of-fit test based on the total variation distance, introduced by Györfi and van der Meulen (1991). This note uses the idea of partial inversion for obtaining characteristic functions of conditional distributions, which goes back at least to Bartlett (1938).     

Generalized partially linear varying-coefficient models

Generalized varying-coefficient models are useful extensions of generalized linear models. They arise naturally when investigating how regression coefficients change over different groups characterized by certain covariates such as age. In this paper, we extend these models to generalized partially linear varying-coefficient models, in which some coefficients are constants and the others are functions of certain covariates. Procedures for estimating the linear and non-parametric parts are developed and their associated statistical properties are studied. The methods proposed are illustrated using some simulations and real data analysis.     

图式理论、学习策略与大学英语口语教学

本研究采用定量分析的方法,对84名天水师范学院非英语专业的学生的口语水平进行测试。根据图式理论,口语任务分为有关键词及句型提示类和无提示类,并对被试的学习策略使用情况做了调查,结果发现,口语任务有提示与无提示对学生的口语成绩有显著影响,这说明图式理论完全适用于大学英语口语教学。     

《论语·学而篇》第十六章新解

《论语·学而篇》第十六章"不患人之不己知,患不知人也",传统的解释是"不着急别人不了解自己,却着急自己不了解别人",这未能切中孔子原意.从论语的不同注本看,更重要的是从孔子和《论语》的一贯精神看,该章应解释为"不要担心别人不了解自己,而应担心自己没有东西让别人了解".     

Estimating ordered parameters by linear programming

There are many models that require the estimation of a set of ordered parameters. For example, multivariate analysis of variance often is formulated as testing for the equality of the parameters versus an ordered alternative. This problem, referred to as isotonic inference, constrained inference, or isotonic regression, has led to the development of general solutions, not often easy to apply in special models. In this expository paper, we study the special case of a separable convex quadratic programming problem for which the optimality conditions lead to a readily solved linear complementarity problem in the Lagrange multipliers, and subsequently to an equivalent linear programming problem, whose solution can be used to recover the solution of the original isotonic problem. The method can be applied to estimating ordered correlations, ordered binomial probabilities, ordered Poisson parameters, ordered exponential scale parameters, or ordered risk differences.     

A graphical summary of disparities in health care and related summary measures

In order to assess the effectiveness of government programs designed to reduce disparities in the health care minority groups receive relative to the majority white population, a proper statistical measure should be used. This article proposes a measure of and its accompanying graph, which is readily interpretable and is not affected by the number of minority subgroups examined.     

A simulation study of a discrete-time multiserver retrial queue with finite population

In this paper, we deal with a discrete-time multiserver retrial queue with finite population. Firstly, we study the Markov chain at the epochs immediately after slot boundaries making emphasis on the computation of its steady-state distribution. Then, the main performance measures are investigated. Besides, we simulate the waiting time of a customer in the retrial group under three different queueing policies. Some numerical examples are given to illustrate the analysis.     

Estimating the distribution function using k-tuple ranked set samples

The basic assumption underlying the concept of ranked set sampling is that actual measurement of units is expensive, whereas ranking is cheap. This may not be true in reality in certain cases where ranking may be moderately expensive. In such situations, based on total cost considerations, k-tuple ranked set sampling is known to be a viable alternative, where one selects k units (instead of one) from each ranked set. In this article, we consider estimation of the distribution function based on k-tuple ranked set samples when the cost of selecting and ranking units is not ignorable. We investigate estimation both in the balanced and unbalanced data case. Properties of the estimation procedure in the presence of ranking error are also investigated. Results of simulation studies as well as an application to a real data set are presented to illustrate some of the theoretical findings.