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.     

Bayesian Design of Special Type of Double Sampling Plans for Compliance Testing

Bayesian acceptance sampling plans, which utilize prior information on the process variation, can be employed as an alternative to conventional types of plans for taking decisions on the disposition of submitted lots. A special type of double sampling inspection plans by attributes with small acceptance numbers using Bayesian methodology is presented in this paper emphasizing its significance over small acceptance number single sampling plans. The procedures for designing such sampling plans for specified degree of discrimination which would ensure protection to the producer and consumer are discussed with illustrations under the conditions for the application of gamma-Poisson distribution.     

“敦煌文”概念的再确立和分类的新思考

"敦煌文"概念自提出后,至今仍没被学界广泛接受。但"敦煌文"概念从无到有,从模糊到逐渐清晰的过程,体现了学人对它的不断思考。结合"敦煌文"作品的实际情况,参照《文选》等文体理论典籍的文体划分标准,在吸收历来的研究成果的基础上,文章强调应当充分重视文体资源丰富的敦煌文宝藏,确立它的应有名分,提至与敦煌诗歌并重,并加以系统整理研究。     

从“反”传统到“返”传统——以五四文人的“弃医从文"现象为例

五四的知识分子的经历大都有弃医从文的现象，以此为切入点来探讨这批知识分子在面对现代文明与传统文化时的复杂态度．并试图通过还原历史语境的方式来阐释出他们从反传统到返传统的逻辑理路。     

Adaptation of the jackknifed ridge methods to the linear mixed models

The purpose of this article is to obtain the jackknifed ridge predictors in the linear mixed models and to examine the superiorities, the linear combinations of the jackknifed ridge predictors over the ridge, principal components regression, r?k class and Henderson's predictors in terms of bias, covariance matrix and mean square error criteria. Numerical analyses are considered to illustrate the findings and a simulation study is conducted to see the performance of the jackknifed ridge predictors.     

Women's participation in self‐help groups as a pathway to women's empowerment: A case of Nepal

Non‐governmental organizations (NGOs) and the government of Nepal have made some effort to reduce poverty in Nepal by creating women's affiliation groups, some of which are micro‐credit organizations. Using capabilities as defined by Amartya Sen (Development as freedom, Oxford University Press, New Delhi, 2000), which includes employment opportunities, women's ownership in productive resources such as land and/or homes, educational opportunities, and women's participation in decision‐making in the family, this study evaluated the extent to which women's ethnic group or caste affiliation affected a woman's likelihood of being empowered by participation in these groups. We analyzed a sample of 8,973 women which was taken from the 2011 Nepal Demographic and Health Survey. Previous research has demonstrated that participation in gender‐based groups is correlated with higher economic status. This study adds to the literature on women's affiliation groups by investigating the impact of structural factors, such as caste and ethnicity, on women's self‐help group participation (women's groups and credit groups).