论思想政治教育对学生素质拓展的作用

思想政治教育是我国学校教育的重要内容,思想政治工作是学校工作的重要组成部分。学生思想政治教育为学生素质拓展提供了强大的精神动力和智力支持。在实施学生素质拓展计划的过程中,学生思想政治教育始终处于主导性地位,对学生素质拓展计划的实施具有极其重要的作用。     

Improved approaches to interval estimation of effective doses for a logistic dose-response curve

Asymptotic confidence (delta) intervals and intervals based upon the use of Fieller's theorem are alternative methods for constructing intervals for the <$>\gamma<$>% effective doses (ED<$>_\gamma<$>). Sitter and Wu (1993) provided a comparison of the two approaches for the ED<$>_{50}<$>, for the case in which a logistic dose response curve is assumed. They showed that the Fieller intervals are generally superior. In this paper, we introduce two new families of intervals, both of which include the delta and Fieller intervals as special cases. In addition we consider interval estimation of the ED<$>_{90}<$> as well as the ED<$>_{50}<$>. We provide a comparison of the various methods for the problem of constructing a confidence interval for the ED<$>_\gamma<$>.     

The Complete Exact Null Distribution of Spearman's Rho for n = 12(1)18

Spearman's rank correlation coefficient, Rho, is a widely used nonparametric measure of association. Complete, exact tables of the null distribution are calculated and presented for n = 12 to 18.     

Women's Access to Property: A Comparative Study on Islamic and Kemalist Women in Turkey

This article uses a comparative approach to discuss women's access to property using evidence collected from field research conducted on two distinct communities of Istanbul: one secular and one Islamic. The two groups of women possess distinctly different views of the world and how it is organized. This is particularly the case concerning gender where secular women put forth a view rooted in the sameness of the genders where the Islamic women were clear in their commitment to the idea of difference. These attitudes toward the equality and difference of the genders structures the relations of these women to property and the process of inheritance.     

Measuring Children's Experience of Their Right to Participate in School and Community: A Rights‐Based Approach

This paper discusses the development of a children's rights‐based measure of participation and the findings from its use in a survey of 10‐ to 11‐year‐old children (n = 3773). The measure, which was developed in collaboration with a group of children, had a high reliability (Cronbach's alpha = 0.89). Findings suggest that children's positive experience of their participation rights is higher in school than in community, and higher for girls compared to boys. It is argued that involving children in the ‘measurement’ of their own lives has the potential to generate more authentic data on children's lived experiences.     

The Box–Cox Transformation and Non‐Iterative Estimation Methods for Ordinal Log‐Linear Models

Recently Beh and Farver investigated and evaluated three non‐iterative procedures for estimating the linear‐by‐linear parameter of an ordinal log‐linear model. The study demonstrated that these non‐iterative techniques provide estimates that are, for most types of contingency tables, statistically indistinguishable from estimates from Newton's unidimensional algorithm. Here we show how two of these techniques are related using the Box–Cox transformation. We also show that by using this transformation, accurate non‐iterative estimates are achievable even when a contingency table contains sampling zeros.     

北美汉学界的《沧浪诗话》研究述评——以华裔族群为中心

北美汉学界的《沧浪诗话》研究在主体构成上包括华裔族群和本土学者两个群体。华裔族群的代表人物是刘若愚、叶维廉、叶嘉莹、欧阳桢等人，本土学者的代表人物是加拿大的林理彰，美国的宇文所安、费维廉等人。整体上看。华裔族群的研究凸显出如下四个主要特点：一是注重影响研究，包括严羽诗论对前代文论的承传及其对后代文论（文学理论和文学批评）的影响；二是对严羽诗论系统中“以禅喻诗”批评方法及“兴趣”、“妙悟”等概念进行了阐释：三是方法上移西释中和中西对话并用；四是注意吸纳中国和日本“严学”家的研究成果。     

金融资产的动态非线性相关:一个新的模型

基于Kendall’sτ秩相关系数的优越性和定义,本文提出了新的具有明确经济意义的动态条件相关copula模型,将常用的Gaussian、Clayton和Gumbel函数统一根据该演化方程实现动态化,构造出三种Kendall’sτ动态条件相关copula模型,可用于刻画不同的相关模式。这些模型不仅参数少、容易估计,避免了现有动态条件相关copula模型构建方法各异导致的在实证中不利于比较的缺点,而且能够进行多步向前预测,有效地减少了进行样本外预测时的计算量,从而为刻画时变、非线性、非对称性和尾部相关等复杂的动态相关模式提供了新方法。     

Outlier detection in high-dimensional regression model

An outlier is defined as an observation that is significantly different from the others in its dataset. In high-dimensional regression analysis, datasets often contain a portion of outliers. It is important to identify and eliminate the outliers for fitting a model to a dataset. In this paper, a novel outlier detection method is proposed for high-dimensional regression problems. The leave-one-out idea is utilized to construct a novel outlier detection measure based on distance correlation, and then an outlier detection procedure is proposed. The proposed method enjoys several advantages. First, the outlier detection measure can be simply calculated, and the detection procedure works efficiently even for high-dimensional regression data. Moreover, it can deal with a general regression, which does not require specification of a linear regression model. Finally, simulation studies show that the proposed method behaves well for detecting outliers in high-dimensional regression model and performs better than some other competing methods.