论夏商周“乐”重于“礼”及其现实意义

辨析德、智、体、美四育并举的理论意义,须从文化根源上厘清"美"在文化源头和发展轨迹中的重要地位。甲骨文的"文"就是审美,"文"和"化"合起来,就是"审美教育";礼乐文化初期不是礼先于乐,礼孕育乐,而是恰恰相反;在夏商周三代,主持教育的大司乐必须通晓音律。其社会教育和学校教育中,乐教的分量是礼教决不能与之相比拟的。"乐"重于"礼"特点在古籍文献中也有丰富的佐证……三代美育显要地位和作用说明,重视美育是中国文化源头的特色;加强和提升美育地位是坚持中国文化特色的需要。     

论古代“中和论”美育观与中国美育现代性建设

建立在"天人合一"文化理念基础之上的中国古代"中和论"美育观并不是单纯审美、艺术教育,它在根本上是一种审美的人生观、世界观的教育。当前美育现代性建设虽然取得了令人欣慰的成绩,但也遇到了前所未有的挑战,出现了低迷的状况,这主要是由于中国美育现代性建设忽略了传统文化资源,割断了与传统美育观的联系所致。中国现代美育是作为中国社会现代化进程的产物而发生的,是"现代性"社会工程的一个有机组成部分,为了构建更加和谐、完善的现代美育,中国美育的现代性建设必须从传统美育中汲取有益成分,促进中国美育现代性建设的持久发展。     

论国有土地使用权流转过程中职务犯罪的成因及防范措施

随着社会的发展,国土领域内职务犯罪日渐增多,在国有土地使用权流转过程中的职务犯罪更是呈明显上升的趋势,严重影响了社会的正常发展。文章剖析了国有土地流转中职务犯罪高发的成因,并提出了具体的防范措施,以达到预防和遏制国有土地流转中职务犯罪高发的现象。     

哈萨克族语言态度及语言使用的相关性分析——以木垒哈萨克自治县语言调查为例

以木垒哈萨克自治县为样板地,考察了不同性别、年龄的哈萨克族居民对汉语的语言态度及其使用情况,并探讨了语言态度和其它因素对语言使用的影响。此研究作为个案分析,总结了哈萨克族在语言态度和语言使用上的特点,旨在为新时期新疆少数民族地区政策的制定和教育的实施提供参考。     

对连云港市利用外资工作的几点思考

紧抓沿海开发发展机遇,以科学发展观为指导,进一步改善投资环境,改进招商方式,拓宽利用外资领域,积极、合理、有效地利用外资;高标准、高水平规划各类开发区园区,加快开发区园区基础设施建设,将园区建设成为利用外资的重要载体.     

A novel weighted likelihood estimation with empirical Bayes flavor

We propose a novel approach to estimation, where a set of estimators of a parameter is combined into a weighted average to produce the final estimator. The weights are chosen to be proportional to the likelihood evaluated at the estimators. We investigate the method for a set of estimators obtained by using the maximum likelihood principle applied to each individual observation. The method can be viewed as a Bayesian approach with a data-driven prior distribution. We provide several examples illustrating the new method and argue for its consistency, asymptotic normality, and efficiency. We also conduct simulation studies to assess the performance of the estimators. This straightforward methodology produces consistent estimators comparable with those obtained by the maximum likelihood method. The method also approximates the distribution of the estimator through the “posterior” distribution.     

Bayesian inference and prediction of the Rayleigh distribution based on ordered ranked set sampling

Based on ordered ranked set sample, Bayesian estimation of the model parameter as well as prediction of the unobserved data from Rayleigh distribution are studied. The Bayes estimates of the parameter involved are obtained using both squared error and asymmetric loss functions. The Bayesian prediction approach is considered for predicting the unobserved lifetimes based on a two-sample prediction problem. A real life dataset and simulation study are used to illustrate our procedures.     

Bayesian estimation of sensitivity level and population proportion of a sensitive characteristic in a binary optional unrelated question RRT model

Sihm et al. (2016 Sihm, J. S., A. Chhabra, and S. N. Gupta. 2016. An optional unrelated question RRT model. Involve: A Journal of Mathematics 9 (2):195–209.[Crossref] , [Google Scholar]) proposed an unrelated question binary optional randomized response technique (RRT) model for estimating the proportion of population that possess a sensitive characteristic and the sensitivity level of the question. In our work, decision theoretic approach has been followed to obtain Bayes estimates of the two parameters along with their corresponding minimal Bayes posterior expected losses (BPEL) using beta prior and squared error loss function (SELF). Relative losses are also examined to compare the performances of the Bayes estimates with those of the classical estimates obtained by Sihm et al. (2016 Sihm, J. S., A. Chhabra, and S. N. Gupta. 2016. An optional unrelated question RRT model. Involve: A Journal of Mathematics 9 (2):195–209.[Crossref] , [Google Scholar]). The results obtained are illustrated with the help of real survey data using non informative prior.     

A note on fiducial model averaging as an alternative to checking Bayesian and frequentist models

Just as frequentist hypothesis tests have been developed to check model assumptions, prior predictive p-values and other Bayesian p-values check prior distributions as well as other model assumptions. These model checks not only suffer from the usual threshold dependence of p-values, but also from the suppression of model uncertainty in subsequent inference. One solution is to transform Bayesian and frequentist p-values for model assessment into a fiducial distribution across the models. Averaging the Bayesian or frequentist posterior distributions with respect to the fiducial distribution can reproduce results from Bayesian model averaging or classical fiducial inference.