一种基于区间数判断矩阵的群决策新方法

针对基于区间数判断矩阵的群决策问题,提出了一种群决策新方法.借助于集值统计原理,构造了与区间数判断矩阵群信息等价的具有一定可靠度的确定数判断矩阵,建立了计算这类群信息集结值可靠度的模型,运用和积法对所得新判断矩阵进行处理,得到了一种简便的方案排序方法.最后,通过一个算例验证了该方法的有效性和实用性.     

利益分化格局下中国共产党意识形态整合工作提优策略

改革开放以来,伴随着经济结构的深度调整,社会结构的快速转型,社会阶层的持续分化,导致利益结构的深刻变化,呈现利益诉求多样化、利益关系复杂化、利益差距显著化的特征,致使中国共产党的意识形态整合工作面临引导力被弱化、凝聚力被消解、包容力被降低等诸多障碍。为巩固党的执政基础,强化主流意识形态对社会群体思想的有效整合,必须坚持“一元主导”与“多样共存”的同向发展理念,培育社会各利益群体共同遵循的价值共识,增强党和人民辨别非主流意识形态的判断能力,创新以主流意识形态立体网络为载体的整合手段。     

农地流转与农户金融需求

以四川省为例,基于647份农户调查数据,从农地流转、农户基本情况、农户经营特征、农村金融市场特征4个方面运用Logit模型实证分析其对农户金融需求的影响方向及强度,分析农地流转背景下农户金融需求的影响因素。研究结果表明,农地流转行为带来农户金融需求分化趋势,农地流转价格过快上涨对农户金融需求有明显抑制作用,加快创新农村金融产品已经十分紧迫,农户普遍面临缺乏抵押融资能力的困境。农地流转对农户金融需求的分化性发展产生重要影响,进而对我国农业的转型升级具有极为积极的促进作用。在进一步深化农村土地产权制度改革基础之上,重点针对扩大土地经营规模的农户进行农村金融产品创新,有效满足其不断增长的金融需求,则是当前我国推进现代农业发展必须破解的主要难题。     

一种新的高分辨定位去噪方法

高分辨定位技术在近几年得到人们的广泛注意,在这方面的研究工作相当活跃。本文提出一种新的多目标阵列接收信号协方差矩阵的去噪方法,并对结果进行了计算机模拟。     

Independent attributes control chart for Markov-dependent processes

Statistical process monitoring (SPM) is a very efficient tool to maintain and to improve the quality of a product. In many industrial processes, end product has two or more attribute-type quality characteristics. Some of them are independent, but the observations are Markovian dependent. It is essential to develop a control chart for such situations. In this article, we develop an Independent Attributes Control Chart for Markov Dependent Processes based on error probabilities criterion under the assumption of one-step Markov dependency. Implementation of the chart is similar to that of Shewhart-type chart. Performance of the chart has been studied using probability of detecting shift criterion. A procedure to identify the attribute(s) responsible for out-of-control status of the process is given.     

Web analytics and the functional differentiation of journalism cultures: individual,organizational and platform-specific influences on newswork

A key development in journalism over the past decade has been the rise of web analytics for real-time measurement of how audiences respond to news content. While this has led to concerns that analytics may contribute to a dumbing down of news, our understanding of the impact analytics have on journalism culture is still limited. This study explores individual, organizational and platform-specific influences on ways in which journalists and newsrooms access, use, interpret and apply analytics in their daily work. It argues that, increasingly, analytics are beginning to shape and reshape journalistic roles, values, norms and practices across different types of newsrooms. These developments are contributing to processes of functional differentiation in the journalistic field, which is found particularly in emerging practices of day- and platform-parting. The study argues that this differentiation has important consequences for scholars wanting to study news production, distribution and content in the digital age.     

Confidence interval estimation and hypothesis testing for a common correlation coefficient

Several procedures have been proposed for testing the hypothesis that all off-diagonal elements of the correlation matrix of a multivariate normal distribution are equal. If the hypothesis of equal correlation can be accepted, it is then of interest to estimate and perhaps test hypotheses for the common correlation. In this paper, two versions of five different test statistics are compared via simulation in terms of adequacy of the normal approximation, coverage probabilities of confidence intervals, control of Type I error, and power. The results indicate that two test statistics based on the average of the Fisher z-transforms of the sample correlations should be used in most cases. A statistic based on the sample eigenvalues also gives reasonable results for confidence intervals and lower-tailed tests.     

Generalized information matrix tests for copulas

We propose a family of goodness-of-fit tests for copulas. The tests use generalizations of the information matrix (IM) equality of White and so relate to the copula test proposed by Huang and Prokhorov. The idea is that eigenspectrum-based statements of the IM equality reduce the degrees of freedom of the test’s asymptotic distribution and lead to better size-power properties, even in high dimensions. The gains are especially pronounced for vine copulas, where additional benefits come from simplifications of score functions and the Hessian. We derive the asymptotic distribution of the generalized tests, accounting for the nonparametric estimation of the marginals and apply a parametric bootstrap procedure, valid when asymptotic critical values are inaccurate. In Monte Carlo simulations, we study the behavior of the new tests, compare them with several Cramer–von Mises type tests and confirm the desired properties of the new tests in high dimensions.     

政策边缘人：理解基层政策执行难的一个视角——以精准扶贫中的“争贫”为例

当公共政策只针对部分社会群体的时候，靠近政策分界线但又没有享受到政策利益的群体就会成为政策边缘人，政策边缘人属于利益外群体，但其结构性位置却又让其最接近分享政策利益，属于潜在受益者。在社会分化和竞争的背景下，政策边缘人与其他条件差不多的群体对比会产生相对剥夺感。政策边缘人会认为享有政策利益本应是他们的权利，于是他们基于维权的想法会通过各种方式谋取政策利益，在此过程中就会影响到基层公共政策的执行。因此，建议通过提高基层治理的法治化、科学化、精细化水平和组织化程度等方式减少政策边缘人对政策执行和基层治理带来的消极影响。     

An algorithmic approach to construct D-optimal saturated designs for logistic model

In this paper, locally D-optimal saturated designs for a logistic model with one and two continuous input variables have been constructed by modifying the famous Fedorov exchange algorithm. A saturated design not only ensures the minimum number of runs in the design but also simplifies the row exchange computation. The basic idea is to exchange a design point with a point from the design space. The algorithm performs the best row exchange between design points and points form a candidate set representing the design space. Naturally, the resultant designs depend on the candidate set. For gain in precision, intuitively a candidate set with a larger number of points and the low discrepancy is desirable, but it increases the computational cost. Apart from the modification in row exchange computation, we propose implementing the algorithm in two stages. Initially, construct a design with a candidate set of affordable size and then later generate a new candidate set around the points of design searched in the former stage. In order to validate the optimality of constructed designs, we have used the general equivalence theorem. Algorithms for the construction of optimal designs have been implemented by developing suitable codes in R.