大学生宿舍人际关系质量调查分析

采用问卷法和社会测量法,调查研究大学生宿舍人际关系质量。对592名被试的研究结果表明：大学生宿舍人际满意度总体较高,倾向于满意的比例约为81.42%;大学生宿舍人际被接纳指数普遍较高,属于受欢迎和较受欢迎的比例约为88.85%;大学生宿舍人际满意度与被接纳指数呈极显著正相关;大学生宿舍人际关系质量由高到低依次为大四、大一、大三和大二。     

思想政治教育与大学生就业竞争力研究

近年来,大学生就业形势越来越严峻,大学生的就业问题已经成为党和国家最关注的问题之一,也是社会、高校、家庭和大学生关注的热点。有针对性地开展学生的思想政治教育工作,提高大学生主观能动性和道德素质,改善就业环境,可以达到提升大学生就业竞争力的目的。     

马克思主义在城市社区的大众化传播

从实践性的角度来看,推动当代中国马克思主义大众化是马克思主义理论和实践的本质要求和必然追求。当前城市社区马克思主义大众化传播需要考虑的问题包括大众化传播平台的现代化和立体化、大众化传播主体的群体特性问题以及大众化传播方法的灵活性问题等。城市社区实践马克思主义大众化,应建立大众化宣传普及的专业化队伍,建立健全推动当代中国马克思主义大众化的长效机制,创新大众化的载体建设,促进马克思主义大众化话语体系的生成,构建社区＂马克思主义大众化实践基地＂。     

天津市区县示范工业园区规划建设模式探讨

一、工业园区发展的困境与突破口 近几年来,天津市的经济发展不断迈上新的台阶,逐渐形成了滨海新区、中心城区、区县三个层面联动协调发展的新格局。在滨海新区和中心城区强大引擎的驱动下,各区县以小城镇建设为龙头,实施了以宅基地换房带动小城镇建设的发展战略,区县经济也呈现出稳步增长的趋势。     

长三角地区城镇空间模式的结构特征及其优化和重构的战略构想

本文基于产业结构升级与城镇空间模式协同的视角,运用主成份和聚类分析方法,在对长江三角洲地区城镇空间模式的结构特征进行分析的基础上,提出了优化和重构的方向、目标、总体思路与主要任务,以此为长三角城市群规划编制提供科学依据。本文认为：长三角城镇空间模式优化和重构的方向与目标是：构建区域＂体系完整、组织有序、结构合理、功能互补、分工协作、轴向集聚、整体联动＂的城镇结构层级体系和高度发达的城市网络体系。优化和重构的总体思路是：以积极推动城镇结构层级关系合理优化和城市网络体系高级化为核心内容,通过构建以主要中心城市为节点的城市网络体系,形成以上海为核心、南京和杭州为副中心,宁波、南通和连云港为两翼,并辐射众多中小城镇的综合性功能地域。     

Maximum Likelihood Estimations and EM Algorithms with Length-biased Data

Length-biased sampling has been well recognized in economics, industrial reliability, etiology applications, epidemiological, genetic and cancer screening studies. Length-biased right-censored data have a unique data structure different from traditional survival data. The nonparametric and semiparametric estimations and inference methods for traditional survival data are not directly applicable for length-biased right-censored data. We propose new expectation-maximization algorithms for estimations based on full likelihoods involving infinite dimensional parameters under three settings for length-biased data: estimating nonparametric distribution function, estimating nonparametric hazard function under an increasing failure rate constraint, and jointly estimating baseline hazards function and the covariate coefficients under the Cox proportional hazards model. Extensive empirical simulation studies show that the maximum likelihood estimators perform well with moderate sample sizes and lead to more efficient estimators compared to the estimating equation approaches. The proposed estimates are also more robust to various right-censoring mechanisms. We prove the strong consistency properties of the estimators, and establish the asymptotic normality of the semi-parametric maximum likelihood estimators under the Cox model using modern empirical processes theory. We apply the proposed methods to a prevalent cohort medical study. Supplemental materials are available online.     

Estimation of the bivariate cause-specific distribution function with doubly censored competing risks data

In this article, we consider estimating the bivariate cause-specific distribution function when both components are subject to double censoring. We propose two types of estimators as generalizations of the Dabrowska and Campbell and Földes estimators. The asymptotical properties of the proposed estimators are established. A simulation study is conducted to investigate the performance of the proposed estimators.     

Detection of multiple undocumented change-points using adaptive Lasso

The problem of detecting multiple undocumented change-points in a historical temperature sequence with simple linear trend is formulated by a linear model. We apply adaptive least absolute shrinkage and selection operator (Lasso) to estimate the number and locations of change-points. Model selection criteria are used to choose the Lasso smoothing parameter. As adaptive Lasso may overestimate the number of change-points, we perform post-selection on change-points detected by adaptive Lasso using multivariate t simultaneous confidence intervals. Our method is demonstrated on the annual temperature data (year: 1902–2000) from Tuscaloosa, Alabama.     

A dynamic Mover–Stayer model for recurrent event processes subject to resolution

In studies of affective disorder, individuals are often observed to experience recurrent symptomatic exacerbations warranting hospitalization. Interest may lie in modeling the occurrence of such exacerbations over time and identifying associated risk factors. In some patients, recurrent exacerbations are temporally clustered following disease onset, but cease to occur after a period of time. We develop a dynamic Mover–Stayer model in which a canonical binary variable associated with each event indicates whether the underlying disease has resolved. An individual whose disease process has not resolved will experience events following a standard point process model governed by a latent intensity. When the disease process resolves, the complete data intensity becomes zero and no further event will occur. An expectation–maximization algorithm is described for parametric and semiparametric model fitting based on a discrete time dynamic Mover–Stayer model and a latent intensity-based model of the underlying point process.     

宋代广东军事行政长官的选任

宋代广东军事行政长官称“知广州”。以往人们多认为出任该职的人经过认真挑选,素质常优于别处职位相当的官员。笔者发现:北宋中期以前,由于主管广州的海外贸易,知广州素质比较高,充任者多是有路以上财政工作经验的人;后来因朝廷另派官员直接控制外贸,知广州不再主管外贸,其素质便明显下降。知广州的选任标准及其变化,从一个侧面反映了宋朝重视广州外贸,并力图加强控制的意图。