Inferences on regression coefficients in a regression model under heteroscedasticity and robustness with respect to departure from normality

In this paper we consider a simple linear regression model under heteroscedasticity and nonnormality. A statistical test for testing the regression coefficient is then derived by assuming normality for the random disturbances and by applying Welch's method. Some Monte Carlo studies are generated for assessing robustness of this test. By combining Tiku's robust procedure with the new test, a robust but more powerful test is developed.     

辽宁奥运金牌总数排名全国第一

国运昌,体育盛!建国60年来,辽宁经济腾飞,辽宁体育成就辉煌. 黑土地出强人.在中国体育界,"辽老大"的名号已经被喊了几十年.过去的7届奥运会(截止到北京奥运会),辽宁已经产生了24位奥运冠军,共获得了29块金牌,居全国之首.     

A simulation study of the nearest neighbour analysis method of papadakis

The relative performances of randomised block, balanced lattice squares and Papadakis nearest neighbour analyses were compared on two simulated fields whose soil heterogeneity profiles were generated, one with a few evenly spaced contours and the other with many unevenly spaced contours. Four levels of random error were generated to simulate different proportions of random error and soil heterogeneity. Dummy treatments, corresponding to 7 x 7 and 11 x 11 balanced lattice squares were applied to the fields. The results from simulated experiments showed an interaction of error mean square (EMS) between size of experiment (7 x 7, 11 x 11) and levels of soil heterogeneity in the lattice analyses, but no such interaction in the Papadakis analyses. The Papadakis EMS decreased as random error decreased but at a rate depending on the map andthe ratio of soil heterogeneity to random error.     

论伍尔夫小说《奥兰多——一部传记》中的真理观

<奥兰多--一部传记>是英国现代主义女作家弗吉尼亚·伍尔夫最具想象力的一部作品,雌雄同体和传记式小说是它的标志性特征,然而这并非它的全部研究价值.这部小说承载了作者的真理观.在伍尔夫看来,由于自然和人类自身的问题,生活和世界充满表象的碎片,因此寻求具有永恒性质的、能统一所有表象的真理具有重要的意义.她同时指出,记忆、推断、概括和想象等思维能力是获得真理的手段,作家凭借这些能力进行创作,有理由成为持圭臬者来引领人类社会走向真理.     

Model-Based Classification via Mixtures of Multivariate t-Factor Analyzers

A model-based classification technique is developed, based on mixtures of multivariate t-factor analyzers. Specifically, two related mixture models are developed and their classification efficacy studied. An AECM algorithm is used for parameter estimation, and convergence of these algorithms is determined using Aitken's acceleration. Two different techniques are proposed for model selection: the BIC and the ICL. Our classification technique is applied to data on red wine samples from Italy and to fatty acid measurements on Italian olive oils. These results are discussed and compared to more established classification techniques; under this comparison, our mixture models give excellent classification performance.     

The servant identity: Influences on the cognition and behavior of servant leaders

This paper approaches the study of servant leadership by concentrating on the identity of servant leaders. An identity is important to one's sense of self and it influences the way a leader cognitively processes socially relevant information and exercises a particular leadership behavior in response to a situation. Unlike existing studies, which typically approach servant leadership as one of a number of possible leadership styles, and which merely describe its characteristics, this paper serves to explain the basis for individuals enacting this mode of leadership. This paper defines and elaborates on the servant identity by showing the psychological factors constituting it. Taking a socio-cognitive approach, the paper offers a theoretical framework for the servant identity. The framework encompasses the cognitive and behavioral disposition of leaders with servant identity and the organizational contexts that influence it. This new angle on servant leadership opens avenues for future research and practice.     

《诗经》乾嘉学派的文学阐释

一向被认为以考据见长的乾嘉学派,在<诗经>诠释中也有着不可忽视的文学阐释.他们重视诗的表现手法,揭示诗中兴比的指向;在字句训话基础上,考订字义,从而品赏诗情.乾嘉学派对<诗经>的阐释体现出文学性,不仅与<诗经>的文学性质相关,也与很多乾嘉学派的学者进行诗文创作关联紧密.     

An Improved Boxplot for Univariate Data

The boxplot is an effective data-visualization tool useful in diverse applications and disciplines. Although more sophisticated graphical methods exist, the boxplot remains relevant due to its simplicity, interpretability, and usefulness, even in the age of big data. This article highlights the origins and developments of the boxplot that is now widely viewed as an industry standard as well as its inherent limitations when dealing with data from skewed distributions, particularly when detecting outliers. The proposed Ratio-Skewed boxplot is shown to be practical and suitable for outlier labeling across several parametric distributions.     

论死亡赔偿金的制度价值

2009年12月26日通过的《侵权责任法》明确规定在同一事故中可不考虑个人差异,以同一数额确定死亡赔偿金。该条同命同价条款引起社会各界的广泛关注。死亡赔偿并不是对死者生命价值的赔偿,而是对死者近亲属受损利益的救济。死亡赔偿从扶养丧失说改采继承丧失说,赔偿标准采定型化赔偿和客观计算,体现了立法没有为了逻辑自治而漠视社会现实,但对城乡居民采用了两分法的计算标准,显然违背了死亡赔偿金设立的初衷。今后死亡赔偿金制度的完善必然取决于对有关利弊的实证分析而非抽象的逻辑推理。