Asymptotic relative efficiency of the linear discriminant function under partial nonrandom classification of the training data

This paper considers the problem where the linear discriminant rule is formed from training data that are only partially classified with respect to the two groups of origin. A further complication is that the data of unknown origin do not constitute an observed random sample from a mixture of the two under- lying groups. Under the assumption of a homoscedastic normal model, the overall error rate of the sample linear discriminant rule formed by maximum likelihood from the partially classified training data is derived up to and including terms of the first order in the case of univariate feature data. This first- order expansion of the sample rule so formed is used to define its asymptotic efficiency relative to the rule formed from a completely classified random training set and also to the rule formed from a completely unclassified random set.     

反腐倡廉效率评估:方法选择与指标构建

对反腐倡廉建设开展效率评估,不仅有利于改进和提升反腐倡廉的效率,推进反腐倡廉建设科学化的进程,还能为反腐倡廉形势评估开辟一个独特的视角。文章在综述国内反腐倡廉建设评估研究的基础上,提出了反腐倡廉效率评估的必要性;并基于反腐倡廉建设目标与特点分析,论证了数据包络分析方法对反腐倡廉效率评估的适用性;参照学术界已有的成果,结合实践逻辑构建了反腐倡廉效率评估指标体系;阐述了数据包络分析的模型选择及运算过程。     

Quality self-control and co-supervision mechanism of construction agent in public investment project in China

Public investment project (PIP) plays an important role in the China economy. In order to improve the project management performance of public projects, the government is searching for a scientific system to build a construction management supervision mode. This paper introduces the policy background and connotation of Agent Construction System (ACS). As a public investment construction management model, ACS, is gradually being incorporated into the legal framework, it is necessary to improve the construction agent supervision mechanism. This article analyzes the supervision mechanism of construction agent quality management under the principle of two-stage agent mode and establishes an agent quality self-control system and a government co-supervision system. These systems take the contract management as the core and the project quality objective as the guidance. These systems also consist of a two-dimensional framework of vertical self-control and horizontal supervision, which form a quality supervision mechanism. Based on Rough Set theory, the article proposes the idea of building an agent quality self-control and government co-supervision model, and illustrates it with a flow chart for building the model, which paves the way of quantitative research for the future.     

简析宪法中的效率原则

宪法中的效率原则包含4个范畴。其中,最大化原则无法被比例原则所涵盖。若不考虑最大化原则,在审查国家财政任务的合宪性时,效率原则可以被视为比例原则的重要组成部分。作为一项宪法原则,效率原则不仅约束行政机关,而且约束立法机关。对于行政机关而言,由审计机关审查其活动是否符合效率原则。而对于代议机关而言,审查其行为是否符合效率原则的任务可以交给违宪审查机关,审计机关在必要时须提供专业咨询和建议。     

民事发回重审之功能论

民事诉讼中发回重审在司法实践中确保初审程序的正当化,明确了上下级法院职能分工,保障诉讼当事人两审终审之利益。发回重审以其独有的功能而区别于其它二审裁决方式。但实务操作中因法律笼统规定等相关因素和制度本身种种弊端使得发回重审滥用现象严重,这也与民事诉讼追求的效率与公正价值取向背道而驰。虽然我国在2012年8月新修的《民事诉讼法》中完善了发回重审制度,但对于发回重审的具体事由以及相关处理程序仍有待规范。因此,适当限制发回重审是由,严格把控重审程序,给予当事人一定的程序选择权,对消解发回重审的滥用和当事人诉讼利益的保护,彰显法治权威和统一有着不可小觑的作用。     

Local composite quantile regression estimation of time-varying parameter vector for multidimensional time-inhomogeneous diffusion models

This paper is dedicated to the study of the composite quantile regression (CQR) estimations of time-varying parameter vectors for multidimensional diffusion models. Based on the local linear fitting for parameter vectors, we propose the local linear CQR estimations of the drift parameter vectors, and verify their asymptotic biases, asymptotic variances and asymptotic normality. Moreover, we discuss the asymptotic relative efficiency (ARE) of the local linear CQR estimations with respect to the local linear least-squares estimations. We obtain that the local estimations that we proposed are much more efficient than the local linear least-squares estimations. Simulation studies are constructed to show the performance of the estimations proposed.     

部分省市国有创投企业实地调研与启示

上海国有创投企业与深圳、苏州、广东等创投公司基本上同时起步,但近年来实力差距拉大。碉研认为,上海应通过集团化发展整合现有的国有创投企业,建立上海科技金融集团,并通过机制创新,解决国资管理与市场化经营的冲突问题,使上海国有创投业成为服务上海科技创新战略、新兴产业发展和转变经济发展方式的有力抓手。     

Estimation of variance in bivariate normal distribution after the preliminary test of homogeneity

A preliminary test estimator of variance in the bivariate normal distribution is proposed after the Pitman–Morgan test of homogeneity of two variances. The bias and mean square error of the estimator are derived. The relative efficiency (RE) of the preliminary test estimator is studied. Computations and 3D graphs of RE for different parameters are analyzed. In order to get the maximum RE, recommendations of the significance level for the preliminary test are given for various sample sizes by using the max–min criterion.     

The efficiency of mutual fund companies: Evidence from an innovative network SBM approach

This paper is the first DEA (Data Envelopment Analysis) evaluation of the efficiency of a sample of mutual fund companies in a large Euro fund industry, i.e. Spain. Our novel network model links the efficiency of the core activities (portfolio management and marketing/distribution) of a mutual fund company to the efficiency of its operational management function. Our results highlight the important networking effects at the marketing stage and question the prime role of portfolio management skills in the overall efficiency of a mutual fund company. The evaluation of robust efficiency clusters indicates that the efficiency rankings obtained with our network model persist significantly along our sample period. Finally, the application of the SBM (Slacks-Based Measure) Variation III to our network model allows us to identify a large number of globally inefficient but locally efficient companies with reference to competitors with similar management resources.     

Investor commitment to serial entrepreneurs: A multilayer network analysis

Social networks are complex systems composed of interdependent organizations and people with diverse network structures. Understanding network dynamics, such as exchange commitment, requires a methodological toolkit that does not assume away complexity. In this study, we extend a technique for analyzing longitudinal, multilayer network data called network alignment. We introduce a novel metric – intersect proportions – for analyzing similarity between divergent graphs. We demonstrate the application of network alignment and intersect proportions to the context of investor commitment to startups and entrepreneurs. Using this technique, we are able to disentangle exchange commitment across complex networks.