Estimating household structure in ancient China by using historical data: a latent class analysis of partially missing patterns

Summary.  Social data often contain missing information. The problem is inevitably severe when analysing historical data. Conventionally, researchers analyse complete records only. Listwise deletion not only reduces the effective sample size but also may result in biased estimation, depending on the missingness mechanism. We analyse household types by using population registers from ancient China (618–907 AD) by comparing a simple classification, a latent class model of the complete data and a latent class model of the complete and partially missing data assuming four types of ignorable and non-ignorable missingness mechanisms. The findings show that either a frequency classification or a latent class analysis using the complete records only yielded biased estimates and incorrect conclusions in the presence of partially missing data of a non-ignorable mechanism. Although simply assuming ignorable or non-ignorable missing data produced consistently similarly higher estimates of the proportion of complex households, a specification of the relationship between the latent variable and the degree of missingness by a row effect uniform association model helped to capture the missingness mechanism better and improved the model fit.     

Bayesian networks for imputation

Summary.  Bayesian networks are particularly useful for dealing with high dimensional statistical problems. They allow a reduction in the complexity of the phenomenon under study by representing joint relationships between a set of variables through conditional relationships between subsets of these variables. Following Thibaudeau and Winkler we use Bayesian networks for imputing missing values. This method is introduced to deal with the problem of the consistency of imputed values: preservation of statistical relationships between variables ( statistical consistency ) and preservation of logical constraints in data ( logical consistency ). We perform some experiments on a subset of anonymous individual records from the 1991 UK population census.     

试论企业核心能力与企业经营战略

企业核心能力要准确理解 ,应区分“资源”与“能力”、“基本能力”与“核心能力”以及基于动态的一些观点 ,由此 ,对企业核心能力进行了界定。企业核心能力的逻辑结构应考虑到企业 /行业的技术经济特征、生命周期 ,不能理解为几项关键技能的简单组合。最后指出中国企业培育核心能力的战略选择。     

Estimation of noncentrality parameters

We propose some estimators of noncentrality parameters which improve upon usual unbiased estimators under quadratic loss. The distributions we consider are the noncentral chi-square and the noncentral F. However, we give more general results for the family of elliptically contoured distributions and propose a robust dominating estimator.     

Tl_2Ba_2CaCu_2O_8超导体的能带结构及其与晶体中氧缺位的关系

本文利用EHT(Extended Huckel Method)紧束缚能带计算方法,计算了Tl_2Ba_2CaCu_2O_8在晶体中三种不同氧缺位条件下的电子能带,讨论了晶体中不同氧缺位对该超导体的能带结构,体系总能量,总态密度和Cu—O面上Cu和O的电荷分布的影响,指出这三种氧缺位结构都有可能存在于该超导体中,并且对超导电性的贡献是相同的。     

城市绿地系统的结构规划

城市绿地系统结构是系统规划建设的基础框架,对城市绿地形成完整有机的系统具有重要作用。本文以城市绿地系统结构为研究对象,在分析其内涵特征和系统化发展趋势的基础上,力图探讨较为系统的现代城市绿地系统结构规划方法。     

Averaging Lorenz curves

A large number of functional forms has been suggested in the literature for estimating Lorenz curves that describe the relationship between income and population shares. The traditional way of overcoming functional-form uncertainty when estimating a Lorenz curve is to choose the function that best fits the data in some sense. In this paper we describe an alternative approach for accommodating functional-form uncertainty, namely, how to use Bayesian model averaging to average the alternative functional forms. In this averaging process, the different Lorenz curves are weighted by their posterior probabilities of being correct. Unlike a strategy of picking the best-fitting function, Bayesian model averaging gives posterior standard deviations that reflect the functional-form uncertainty. Building on our earlier work (Chotikapanich and Griffiths, 2002), we construct likelihood functions using the Dirichlet distribution and estimate a number of Lorenz functions for Australian income units. Prior information is formulated in terms of the Gini coefficient and the income shares of the poorest 10% and poorest 90% of the population. Posterior density functions for these quantities are derived for each Lorenz function and are averaged over all the Lorenz functions.     

中国商业银行市场结构与市场绩效分析

目前,中国商业银行寡头垄断的市场结构仍十分明显。国有商业银行虽然维系了资产规模的垄断结构,却没能取得维系垄断结构所应获取的垄断优势效应。造成这种状况的主要原因在于中国商业银行的垄断格局并非是在市场竞争的结果,而主要是由历史因素、行政手段所导致的。商业银行的市场结构再造,必须在借助政府力量重组现有商业银行结构体系的同时,降低行业进入壁垒,导入有效竞争。     

对欠发达地区农村信用社运行效率的分析

农村信用社改革及其运行效率是当前中国金融界的一个重要课题,农村信用社运行效率的高低依赖于改革的主导力量及其模式的具体选择。中国农村信用社已经历了多次在政府主导下进行的反反复复的体制性变迁,产权制度及治理结构问题未能得到有效解决,其运行效率较低。结合在江西若干县(区)的调查,对欠发达地区农村信用社运行效率进行了分析,并提出了提升农村信用社运行效率的对策建议。     

从《老人》看凯瑟琳·安·波特的叙述艺术

凯瑟琳.安.波特的中篇小说《老人》在时间结构、叙述视角以及人物话语几个方面紧紧围绕米兰达对艾米姑妈的悲剧故事的了解过程这一主线展开。通过这些叙事策略进一步深化了小说的主题。