试论高职院校图书馆的特色化建设

网络环境下,高职院校图书馆的特色化建设应针对发展状况,分析自身优势和需求,建立以服务于特定读者群为目标的特色馆藏,建立"以人为本"的特色化服务模式,建立促进图书馆自身发展的人力资源开发特色体系,建立优良的现代图书馆网络体系。     

中国上市公司财务预警实证研究

在对国外公司财务预警经典研究成果进行回顾和总结的基础上,运用多元判别分析方法（MDA）和逐步判别分析（Stepdisc）等方法逐层推进构造预测模型,以经济实用为选择标准,最终建立一个预测准确率最高、变量最少的适合中国实际情况的财务危机预测模型。     

再论企业自知识能力及其管理

根据先前的研究 ,从企业核心能力的角度阐述了自知识能力的本质特征 ,即动态的特征、宽泛的特征、深层次的特征。分析了扼杀企业自知识能力的因素 ,包括企业文化因素、组织结构设计因素、分析性思维因素、策略性决策因素、激励性体系因素等五个方面。在此基础上提出了提升企业自知识能力的对策。     

施工企业危机管理及其经济分析

危机管理的目的是为了避免和减少危机的损害,是一场"防御性的战斗",也是一项系统工程。论文结合竞争激烈的施工企业市场实际,从施工企业危机管理入手,阐述了施工企业危机管理目前的共性内容,并通过分析对危机管理的重要意义、危机管理效果和经济效果的衡量等问题,进一步通过施工企业危机管理的经济分析对危机管理投入、所得的界定,研究了危机管理投入的量化及归一化,以及危机管理所得的量化及归一化问题,得出单位投入所带来的整体稳定态势,其值越大表明危机管理越有效。可为施工企业开展此项工作提供一定的理论指导。     

信任关系的不完全信息动态博弈模型

以往理论研究与经验研究均指出"信任"关系具有外部效应,但对这种效应是怎样取得的并无共识.我们尝试建立一个不完全信息动态博弈模型,说明"信任"关系如何产生正的外部性,亦即产生超出个体理性计算之外的利益.我们的分析得出这样的结论,在一个多人互动的环境中,能否达到彼此信任,虽然会受到欺骗者所遭到的惩罚与欺骗利益多少的影响,但主要受到所处环境中具有信任者人数比例的影响.因此,可以说"信任"关系具有正的外部性,信任者人数越多,信任者所享受到的利益越大.     

Quantifying uncertainty in the biospheric carbon flux for England and Wales

Summary.  A crucial issue in the current global warming debate is the effect of vegetation and soils on carbon dioxide (CO₂) concentrations in the atmosphere. Vegetation can extract CO₂ through photosynthesis, but respiration, decay of soil organic matter and disturbance effects such as fire return it to the atmosphere. The balance of these processes is the net carbon flux. To estimate the biospheric carbon flux for England and Wales, we address the statistical problem of inference for the sum of multiple outputs from a complex deterministic computer code whose input parameters are uncertain. The code is a process model which simulates the carbon dynamics of vegetation and soils, including the amount of carbon that is stored as a result of photosynthesis and the amount that is returned to the atmosphere through respiration. The aggregation of outputs corresponding to multiple sites and types of vegetation in a region gives an estimate of the total carbon flux for that region over a period of time. Expert prior opinions are elicited for marginal uncertainty about the relevant input parameters and for correlations of inputs between sites. A Gaussian process model is used to build emulators of the multiple code outputs and Bayesian uncertainty analysis is then used to propagate uncertainty in the input parameters through to uncertainty on the aggregated output. Numerical results are presented for England and Wales in the year 2000. It is estimated that vegetation and soils in England and Wales constituted a net sink of 7.55 Mt C (1 Mt C = 10¹² g of carbon) in 2000, with standard deviation 0.56 Mt C resulting from the sources of uncertainty that are considered.     

改进灰色预测在油田多目标规划决策中的应用

建立了S油田勘探、开发、炼化、机械、公用工程等多个部门和全局的非线性多级目标优化规划模型,应用关联分析、改进灰色预测、回归分析求取规划模型的约束方程并线性化;编制了相应的计算软件,使之快速预测和优化油田各部门“九五”各年的投资和产值;并将优化结果与油田过去或计划值加以对比,给油田规划决策带来一定的参考。     

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.     

提高网络环境下的检索效率

围绕查全率、查准率这两个重要指标对网络环境下影响检索效率的因素进行了分析,提出提高网络环境下检索效率的一些方法,以便更好地服务于用户.     

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.