Orientation relationship in finite dimensional space

In the present article, we discuss the regression of a point on the surface of a unit sphere in d dimensions given a point on the surface of a unit sphere in p dimensions, where p may not be equal to d. Point projection is added to the rotation and linear transformation for regression link function. The identifiability of the model is proved. Then, parameter estimation in this set up is discussed. Simulation studies and data analyses are done to illustrate the model.     

转型背景下地方高校新同质化问题思考?

地方高校在转型过程中陷入了新同质化的困境,出现了侧重向工科专业投入建设的一边倒倾向,过度强调就业技能等问题,偏离了政府对地方高校转型的目的。地方高校在转型中应找准定位,将传统优势与地方资源需求相结合,相关专业互融支撑,创办特色专业,从而实现错位化、差异化的发展。还要利用优质智力资源,及时更新、动态调整专业设置,发展社会急需的新专业,从而实现地方高校真正意义上的转型,为地方高校的生存争取更大的空间。     

中国农村社会学研究现状与前景展望——“第七届农村社会学论坛”观点综述

“第七届农村社会学论坛”于2016年5月21－22日在西北农林科技大学成功举办。这次论坛主要围绕现代乡村文化建设与公共空间重建、乡村的现代命运及其未来发展趋势、国家治理下的基层社会治理困境与逻辑、农村公共事务治理及社区发展转型、农村社会发展和社会治理等议题展开讨论交流。     

把握机遇,科学谋划,全面建设高水平应用型大学

《盐城工学院“十三五”事业发展规划》将“特色鲜明的高水平应用型大学”确定为自身转型发展目标,在紧密对接地方产业链、创新链中错位发展,凝练“特色”;在全面支撑服务区域经济社会中彰显“高水平”。高水平应用型大学建设,涉及高校治理结构、专业体系、课程教学、师资结构等各个方面的变革,但其瓶颈依然是教育观念、人才资源、办学经费等问题。作为一所地方应用型本科高校,盐城工学院必须紧紧围绕“地方性、应用型、特色化”,努力突破发展瓶颈,积极探索具有自身特色的应用型大学建设与发展之路。     

新工业革命下我国制造业发展路径分析

探讨新工业革命下我国制造业转型升级的路径。阐述我国制造业的现状,分析新工业革命给我国制造业发展带来的挑战和机遇,提出我国制造业战略转型升级的新思路:以两化融合为契机,加大制造业人力资本投入,加强核心技术研发,完善制造业公共创新服务体系并进一步构建新型政策扶持机制,推进科技成果转化。     

New Shrinkage Parameters for the Liu-type Logistic Estimators

The binary logistic regression is a widely used statistical method when the dependent variable has two categories. In most of the situations of logistic regression, independent variables are collinear which is called the multicollinearity problem. It is known that multicollinearity affects the variance of maximum likelihood estimator (MLE) negatively. Therefore, this article introduces new shrinkage parameters for the Liu-type estimators in the Liu (2003) in the logistic regression model defined by Huang (2012) in order to decrease the variance and overcome the problem of multicollinearity. A Monte Carlo study is designed to show the goodness of the proposed estimators over MLE in the sense of mean squared error (MSE) and mean absolute error (MAE). Moreover, a real data case is given to demonstrate the advantages of the new shrinkage parameters.     

An exploratory data analysis in scale-space for interval-valued data

We propose an exploratory data analysis approach when data are observed as intervals in a nonparametric regression setting. The interval-valued data contain richer information than single-valued data in the sense that they provide both center and range information of the underlying structure. Conventionally, these two attributes have been studied separately as traditional tools can be readily used for single-valued data analysis. We propose a unified data analysis tool that attempts to capture the relationship between response and covariate by simultaneously accounting for variability present in the data. It utilizes a kernel smoothing approach, which is conducted in scale-space so that it considers a wide range of smoothing parameters rather than selecting an optimal value. It also visually summarizes the significance of trends in the data as a color map across multiple locations and scales. We demonstrate its effectiveness as an exploratory data analysis tool for interval-valued data using simulated and real examples.     

综合评价中一种凹性指数型功效函数

目前主流功效函数多为凸性,在处理社会经济数据集中常见的右偏样本时效果难以令人满意。通过系统探讨凸性和凹性功效函数各自的适用特征,指出凹性函数在应用中有其必要性。归纳并使用偏度、区分度、P-P图三种方法作为分布形态的评判标准,比较了常见功效函数对指标原始数据分布形态的调整作用。在分析基础上,提出一种改进的凹性指数功效函数,能有效地处理右偏数据,且相比使用对数预处理的凸性功效函数更具适用性与便利性。     

关于幸福研究的方法论分析--瞿秋白幸福探究的前提思考

波兰哲学家亚当?沙夫提出的“肯定的”与“否定的”幸福研究方法曾为学者们研究幸福提供重要理路,幸福与不幸也成为个人幸福探究的重要向度和尺标。马克思既从“幸福”的肯定方面出发阐释幸福,也从“幸福”的否定方面“不幸”出发来追求、实现幸福,这为从事个人幸福思想研究提供了必要的视角和思路。针对瞿秋白幸福研究的方法论战现象,以“疏离”为现实出发点,以疏离的“意识性转化”为实现路径,成为瞿秋白与其中国化马克思主义幸福研究的重要方法借鉴和理论依据。这不仅为全面认识诸家幸福思想提供导向,也为科学理解马克思主义幸福理论树立支杆,更为推进瞿秋白幸福思想研究———这一瞿秋白与中国化马克思主义研究趋势的理论新探索和再创新确立现实存在性和发展前瞻性的意义。