Bayesian inference under progressive type-I interval censoring

Bayesian estimation for population parameter under progressive type-I interval censoring is studied via Markov Chain Monte Carlo (MCMC) simulation. Two competitive statistical models, generalized exponential and Weibull distributions for modeling a real data set containing 112 patients with plasma cell myeloma, are studied for illustration. In model selection, a novel Bayesian procedure which involves a mixture model is proposed. Then the mix proportion is estimated through MCMC and used as the model selection criterion.     

充分发挥大众传媒思想政治教育功能的对策研究

本文归纳总结了切实发挥大众传媒思想政治教育功能应遵循的基本原则,深入分析当前我国发挥大众传媒思想政治教育功能的现状、存在的主要问题以及导致这些问题的原因,并进而深入挖掘隐藏在这些问题背后的深层次制约因素,提出了如何充分发挥大众传媒思想政治教育功能的对策性意见。     

波普尔科学哲学思想对科学教育的影响

以"证伪主义"为核心的波普尔科学哲学在上个世纪成功替代了逻辑实证主义成为科学哲学上的主导,这不仅是科学哲学的一次革命,还对科学教育的科学本质观、科学教学目标和理念,以及科学教育模式等都产生了深远的影响。     

Developing virtual team performance: an integrated perspective of social exchange and social cognitive theories

Review of Managerial Science - The emerging trend toward physically distributed work teams has necessitated a critical inquiry into the nature and roles of psychological contract and leadership in...     

Changes in anti-fat weight bias in women after exposure to thin and plus-sized models

We examined whether exposing women to female models with different body sizes lead to changes in weight-based attitudes and whether evaluation focus altered the effects. Female college students (N = 214) were exposed to 22 images of either thin or overweight models. Participants rated models on either appearance or non-appearance characteristics and completed measures of anti-fat attitudes, thin ideal internalization, and demographics. Participants rated thin and overweight models equally attractive and sexy. Viewing overweight models showed a significant reduction in anti-fat attitudes. There were no effects for thin models or evaluation ratings. Discussion focuses on the implications of positive images of overweight individuals on social attitudes.     

Wavelet Estimator in Nonparametric Regression Model with Dependent Error’s Structure

In this article, we consider a nonparametric regression model with replicated observations based on the dependent error’s structure, for exhibiting dependence among the units. The wavelet procedures are developed to estimate the regression function. The moment consistency, the strong consistency, strong convergence rate and asymptotic normality of wavelet estimator are established under suitable conditions. A simulation study is undertaken to assess the finite sample performance of the proposed method.     

学前儿童基于重量和声音进行因果推理的发展研究

儿童的推理能力历来都是考察儿童认知发展的重点。本研究探讨了在多种属性刺激下3~5岁儿童基于重量和声音进行 因果推理的表现。结果发现：4岁和5岁儿童选择正确目标物的准确率显著高于3岁儿童；和同时使用声音与重量判断目标物相 比，儿童在单独使用重量或声音的情况下更容易区分目标物。总之，儿童因果推理能力发展的关键期在4岁并且当任务难度较高 的情况下其因果机制极易受到干扰。     

Forecasting Australian subnational age-specific mortality rates

Journal of Population Research - When modeling sub-national mortality rates, it is important to incorporate any possible correlation among sub-populations to improve forecast accuracy. Moreover,...     

中心城区遗产型城市广场的使用后评价研究——以广州陈家祠岭南文化广场为例

城市广场是城市公共游憩空间的重要组成部分。在城市文化旅游日益发展的背景下,中心城区遗产型广场这一特殊的游憩空间既要满足本地市民的游憩需求,又要迎合城市旅游开发与城市形象建设,本研究以广州陈家祠岭南文化广场为例,通过对其进行使用后评价(POE)研究,表明陈家祠文化广场的规划和管理由于更多地是服务于外地游客,因此在空间设计和使用上排斥了很多本土化的休闲活动,既不能满足本地居民强烈的休闲需求,也不能让游客体验到遗产型城市广场的文化性。文章最后对此类城市广场的规划和管理提出了建议。     

基于改进的聚类和关联规则挖掘的学生成绩分析

针对北京邮电大学通信工程专业学生的学习状况分析和培养方案的改进需求,提出一种基于改进的聚类和关联规则挖掘的成绩分析方法,借助数据挖掘手段对学生在校期间的各课程成绩进行相关性分析.以2009-2011级通信工程专业本科生的课程成绩作为样本数据,应用该挖掘方法得到课程之间的关联规则网络,从而分析课程间的衔接关系、判断课程的重要程度以及评价各课程的教学效果.另外,以2011级学生的高考成绩数据作为样本,挖掘高考成绩与大学成绩间的关联规则,分析学生入学前成绩对入学后表现的影响.应用本文所述方法得到的挖掘结果能够为教学方案的设计和改进提供一定参考信息,对提高学生学习质量具有良好作用.