城市化发展与房地产价格的相关性研究

城市化所导致的人口大量迁移引起了对房地产的庞大需求。对未来十年城市化发展所带来的房地产业需求规模进行预测,并使用OLS回归估计进行证明的结果表明,城市化发展水平与高房价二者之间存在显著的相关性。     

论转型期高校的资源增长困境与出路

在市场经济条件下,高等教育投资体制改革面临着一定的矛盾和发展困境。高校只有探索多种资源增长途径,才能确保高等教育事业的快速稳步发展。     

Measuring dynamic efficiency of highway maintenance operations

In this paper we discuss a dynamic efficiency measurement model for evaluating the performance of highway maintenance policies where the inter-temporal dependencies between consumption of inputs (i.e., maintenance budget) and realization of outputs (i.e., improvement in road condition) are explicitly captured. We build on a micro representation of pavement deterioration and renewal processes and study the impact of the allocation of scarce maintenance budgets over time. We provide a measure of efficiency that contrasts the optimized budget allocations to the actual ones. The developed model is then applied to an empirical dataset of pavement condition and maintenance expenditures over the years 2002 to 2008 corresponding to seventeen miles of interstate highway that lay in one of the counties in the state of Virginia, USA. The policies that were found through optimization showed that road authorities should give higher priorities to preventive maintenance than corrective maintenance. In essence, by applying preventive maintenance, the road authorities can effectively decrease the need for future corrective maintenance while spending less overall.     

空间误差自相关随机前沿模型及其估计

将空间计量经济学的思想引入随机前沿分析，构建了基于横截面数据的空间误差自相关随机前沿模型，推导出模型的似然函数以求得参数估计，并给出了各生产单元技术效率的估计。     

Note on estimation of reliability under bivariate pareto stress-strength model

In this paper, we discuss the problem of estimating reliability (R) of a component based on maximum likelihood estimators (MLEs). The reliability of a component is given byR=P[Y<X]. Here X is a random strength of a component subjected to a random stress(Y) and (X,Y) follow a bivariate pareto(BVP) distribution. We obtain an asymptotic normal(AN) distribution of MLE of the reliability(R).     

我国最低工资统计测算模型研究

 最低工资统计测算模型研究，历来是各国政府极为重视的问题之一。它涉及到运用统计调查方法、经济计量模型、计算机辅助测算等方法，对最低工资测算、劳动者生存质量，以及对制度法规等问题进行定性定量分析的跨学科研究的问题，由于该课题在我国研究的时间较短，特别是统计学者介入研究不够，导致各级劳动和社会保障部门虽然亟需解决最低工资统计测算模型问题，但囿于统计技术问题，其发展极为缓慢。这也是本课题组亟力推动研究之动力。     

广义Gamma分布簇广义线性混合模型的构建

 本文在广义Gamma分布簇基础上引入异质性来构建广义线性混合模型。本文构建的广义Gamma分布簇广义线性混合模型在广义线性混合模型的框架下分析,通过参数重整技术把广义Gamma分布簇变量的建模问题与指数分布簇变量的建模问题联系起来,模型推断可以方便地利用广义线性混合模型和广义线性模型的研究成果,同时也可以方便地推广到其他模型。三参数广义Gamma分布可以收缩到两参数的Gamma分布、Weibull分布或指数分布,能降低模型误设的风险,还能便利地分析误差结构。     

基于面板数据的无锡物流需求影响因素研究

物流需求影响因素的研究是物流需求预测的基础,文章选取无锡1996年至2011年的面板数据,运用最小二乘估计法得出所选取的11个指标对物流需求的影响系数,对所得系数进行评价,结合无锡物流现状及其影响因素得出结论并提出建议.     

单个守恒律Riemann问题近似解的边界层分析

使用折线逼近法构造了单个守恒律Riemann问题的近似解,给出了近似解的边界层误差估计.     

Graphics for studying logistic regression models

In this article we focus on logistic regression models for binary responses. An existing result shows that the log-odds can be modelled depending on the log of the ratio between the conditional densities of the predictors given the response variable. This suggests that relevant statistical information could be extracted investigating the inverse problem. Thus, we present different methods for studying the log-density ratio through graphs, which allow us to select which predictors are needed, and how they should be included in a logistic regression model. We also discuss data analysis examples based on real datasets available in literature in order to provide further insights into the methodology proposed.