说一切有部的弥勒观

学界一般认为古代龟兹是小乘说一切有部文化中心,克孜尔中心柱窟图像构成是小乘僧人一佛一菩萨(弥勒)崇拜的反映.本文探讨了说一切有部对弥勒菩萨的态度.从与说一切有部相关的典籍中检索出有关弥勒的文献并进行分析,最后发现这个部派其实反对弥勒崇拜,这使我们重新审视传统理论的两个方面--克孜尔石窟的教派属性,以及弥勒菩萨的图像志.     

350keV Yb~＋注入Si（100）的射程分布和晶格损伤研究

用３５０ｋｅＶＹｂ~＋在室温下注入了单晶硅，并用卢瑟福背散射／沟道技术测量了注入离子在硅中的射程分布谱和晶格损伤谱。用表面能量近似和平均能量近似从背散射谱上计算了射程深度和射程分布的标准偏差。实验和计算结果表明，大部分注入离子都处于非替位位置。表面能量近似方法已能给出相当理想的计算精度，它与更精确的平均能量近似所得出的结果相差甚微。晶体与非晶体界面附近的损伤并由Ｙｂ~＋直接产生，它是一种次级级联碰撞效应。     

Axiomatizations of the normalized Banzhaf value and the Shapley value

A cooperative game with transferable utilities– or simply a TU-game – describes a situation in which players can obtain certain payoffs by cooperation. A solution concept for these games is a function which assigns to every such a game a distribution of payoffs over the players in the game. Famous solution concepts for TU-games are the Shapley value and the Banzhaf value. Both solution concepts have been axiomatized in various ways. An important difference between these two solution concepts is the fact that the Shapley value always distributes the payoff that can be obtained by the `grand coalition' consisting of all players cooperating together while the Banzhaf value does not satisfy this property, i.e., the Banzhaf value is not efficient. In this paper we consider the normalized Banzhaf value which distributes the payoff that can be obtained by the `grand coalition' proportional to the Banzhaf values of the players. This value does not satisfy certain axioms underlying the Banzhaf value. In this paper we introduce some new axioms that characterize the normalized Banzhaf value. We also provide an axiomatization of the Shapley value using similar axioms. Received: 10 April 1996 / Accepted: 2 June 1997     

高质量发展视域下三级公立医院重大传染病救治能力评价指标体系构建

文章综合运用定性和定量相结合的研究方法,通过文献研究初步拟定评价指标集后, 采用德尔菲法进行两轮专家咨询,并利用层次分析法计算各项指标权重,旨在构建安徽省三级公立医院重大传染病救治能力评价指标体系。结果显示,两轮咨询的专家积极系数分别为 100%、90%,专家权威系数分别为0.825、0.831,肯德尔和谐系数分别为0.123、0.124（P＜0.001）,表明专家咨询的可信度高。最终构建的安徽省三级公立医院重大传染病救治能力评价指标体系包含6个一级指标、15个二级指标、50个三级指标,且具有较高的科学性和可靠性。在公立医院高质量发展视域下,该指标体系可为三级公立医院重大传染病救治能力的考核评估与质量提升提供理论依据。     

短面板随机效应模型的分位数回归方法及模拟

对于随机效应面板数据的分位数回归研究的难点在于如何处理截面内存在的相关性,文章借助分位数回归与ALD分布之间的关系,提出了带有Copula相关结构的分位数回归的极大似然估计法,其中Copula函数可用来表示短面板中的截面内相关性.通过数值优化算法迭代求解目标函数可得参数估计值,蒙特卡洛模拟结果显示该方法的均方误差更小,因此更为精确可靠.     

平行数据模型单位根的非参数检验方法——截面内误差项存在L阶自相关关系

时间序列单位根检验问题是现代经济计量学研究的一个焦点问题。由于平行数据模型研究的是跨横截面的时间序列问题,因此单位根检验问题对它来说也非常重要。这个问题目前在平行数据模型的研究领域备受关注。本文通过研究时间序列单位根的非参数Z检验方法与平行数据模型单位根的IPS检验方法,针对横截面内误差项存在L阶自相关关系的平行数据模型,提出了非参数单位根检验方法;并利用Monte-Carlo方法模拟比较了本文提出方法与LL单位根检验方法的效果。一、时间序列单位根的非参数Z检验方法Phillips(1988)考虑了时间序列可能出现的自相关关系…     

中国证券业总产出和增加值测算研究

 金融机构总产出和增加值的测算是一项基础性的研究工作。与传统测算方法不同,本文借鉴经济合作和发展组织（OECD）提出的使用者成本法,把证券业视为生产性服务活动,并结合我国的实际情况,从服务的角度初步提出了我国证券业总产出和增加值的测算框架。并提出了未来研究改进的方向。     

The generalized two-sided power distribution

The generalized standard two-sided power (GTSP) distribution was mentioned only in passing by Kotz and van Dorp Beyond Beta, Other Continuous Families of Distributions with Bounded Support and Applications, World Scientific Press, Singapore, 2004. In this paper, we shall further investigate this three-parameter distribution by presenting some novel properties and use its more general form to contrast the chronology of developments of various authors on the two-parameter TSP distribution since its initial introduction. GTSP distributions allow for J-shaped forms of its pdf, whereas TSP distributions are limited to U-shaped and unimodal forms. Hence, GTSP distributions possess the same three distributional shapes as the classical beta distributions. A novel method and algorithm for the indirect elicitation of the two-power parameters of the GTSP distribution is developed. We present a Project Evaluation Review Technique example that utilizes this algorithm and demonstrates the benefit of separate powers for the two branches of activity GTSP distributions for project completion time uncertainty estimation.     

A Bayesian Adjustment for Covariate Misclassification with Correlated Binary Outcome Data

Estimated associations between an outcome variable and misclassified covariates tend to be biased when the methods of estimation that ignore the classification error are applied. Available methods to account for misclassification often require the use of a validation sample (i.e. a gold standard). In practice, however, such a gold standard may be unavailable or impractical. We propose a Bayesian approach to adjust for misclassification in a binary covariate in the random effect logistic model when a gold standard is not available. This Markov Chain Monte Carlo (MCMC) approach uses two imperfect measures of a dichotomous exposure under the assumptions of conditional independence and non-differential misclassification. A simulated numerical example and a real clinical example are given to illustrate the proposed approach. Our results suggest that the estimated log odds of inpatient care and the corresponding standard deviation are much larger in our proposed method compared with the models ignoring misclassification. Ignoring misclassification produces downwardly biased estimates and underestimate uncertainty.     

平行数据模型中的异方差问题的处理

一、引言平行数据 (PanelData)指在时间序列上取多个截面 ,在这些截面上同时选取样本观测值所构成的样本数据。也就是把截面和时间序列数据融合在一起的数据。平行数据模型是一类线性经济模型 ,这些模型可以看作协变量的双向设计。如 :yit =∑pk =1xitkyk uit,i=1 ,2 ,L,N ,t =1 ,2 ,L,T其中N是横截面的个数 ,T是每一横截面上时间序列的长度 ,P是外生的或自变量的个数。近 2 0年来 ,平行数据模型在计量经济学理论方法方面取得了重要发展 ,新方法、新观点层出不穷。在经济分析中 ,平行数据模型起着只利用截面数据或只利用时间序列数据模…