海上救助公约的发展及其主要影响

1989年通过的国际救助公约对传统的“无效果无报酬”原则所作的例外规定,引起了海运界和贸易界的极大关注,从而导致某些国际规则和国内法的修订。本文运用比较的方法对海上救助公约的发展及其对英国劳氏标准救助契约、国际共同海损理算规则和我国海商法的影响作了论述,并且提出了我国当前海商法应作修改补充的几点建议。     

文学史的核心价值与古今演变

本文着重分析在过去的文学史研究中古代与现代相互隔绝的成因与弊病 ,提出从重新阐释中国文学的历史与传统入手 ,沟通古今文学 ,研究其演变的过程 ;提出文学史的核心价值是文学与人性发展的关系、文学在此发展过程中的作用 ,并主张以此核心价值为主线来研究古今文学之演变。     

组合预测误差信息矩阵研究

研究组合预测误差信息矩阵的结构与组合预测方法性质之间的联系,首次提出冗余信息概念,对最优组合预测方法的组合结构进行了研究。     

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。     

谈普通高校体育课程改革思路

为贯彻《全国普通高等学校体育课程教学指导纲要》精神,结合当前高校体育教学实际,通过调查研究、经验总结等方法,对普通高校体育课程改革中存在的一些问题进行了分析,着重研究和探讨了深化改革的思路和途径,提出了改革大学体育课程建设的建议,以促进学校体育教学改革的进一步深化。     

A Sparse Implementation of the Average Information Algorithm for Factor Analytic and Reduced Rank Variance Models

Factor analytic variance models have been widely considered for the analysis of multivariate data particularly in the psychometrics area. Recently Smith, Cullis & Thompson (2001) have considered their use in the analysis of multi‐environment data arising from plant improvement programs. For these data, the size of the problem and the complexity of the variance models chosen to account for spatial heterogeneity within trials implies that standard algorithms for fitting factor analytic models can be computationally expensive. This paper presents a sparse implementation of the average information algorithm (Gilmour, Thompson & Cullis, 1995) for fitting factor analytic and reduced rank variance models.     

价值哲学的认识论转换--乌尔班价值理论研究

从乌尔班的《评价 :其性质及其法则》开始 ,价值哲学的研究主题发生了一种根本性的转变 :由新世界图景的价值哲学建构 ,转向对价值哲学理论的研究。换言之 ,在此之后价值哲学研究结束了形而上学阶段 ,而进入了认识论阶段。在认识论阶段 ,评价问题成为最为重要的研究课题。在对评价问题的研究中 ,乌尔班开创了一种以心理学为基础的经验论研究理路。我国近 2 0年的价值哲学的研究范式与乌尔班开始的美国价值哲学的研究范式十分相似。     

A comparison of maximum likelihood and least squares for the estimation of a cumulative distribution

Monte Carlo methods are used to compare the methods of maximum likelihood and least squares to estimate a cumulative distribution function. When the probabilistic model used is correct or nearly correct, the two methods produce similar results with the MLE usually slightly superior When an incorrect model is used, or when the data is contaminated, the least squares technique often gives substantially superior results.     

Robustness to non-normality and autocorrelation of individuals control charts

This paper studies the effects of non-normality and autocorrelation on the performances of various individuals control charts for monitoring the process mean and/or variance. The traditional Shewhart X chart and moving range (MR) chart are investigated as well as several types of exponentially weighted moving average (EWMA) charts and combinations of control charts involving these EWMA charts. It is shown that the combination of the X and MR charts will not detect small and moderate parameter shifts as fast as combinations involving the EWMA charts, and that the performana of the X and MR charts is very sensitive to the normality assumption. It is also shown that certain combinations of EWMA charts can be designed to be robust to non-normality and very effective at detecting small and moderate shifts in the process mean and/or variance. Although autocorrelation can have a significant effect on the in-control performances of these combinations of EWMA charts, their relative out-of-control performances under independence are generally maintained for low to moderate levels of autocorrelation.