多阶段均值—半方差模糊投资组合决策研究

考虑交易成本、借款限制、阀值约束和基数约束,提出多阶段均值—半方差模糊投资组合模型。在该模型中,收益水平被定义为可能的平均回报,风险水平被定义为回报的半方差。由于交易成本和基数约束,多阶段投资组合模型为具有路径依赖性的混合整数动态优化问题。文章提出了前向动态规划方法求解。最后,以一个具体的算例比较了不同的基数约束投资组合的最优投资策略。     

孔子通才教育观简论

孔子是中国传统教育理论的创立者,至今仍有重要影响。二千五百年来,孔子的思想对中国文化和中国思想产生了深远的影响。文章拟从他关于仁爱、中庸和慎言等教育思想中,揭示其通才教育观的基本内容,为现行素质教育作参考。研究孔子思想有重要的现实意义。     

孔子和亚里士多德的“中庸”思想与儿童教育主张的比较

孔子和亚里士多德都是伟大的思想家和教育家.在相似的历史背景下,他们提出了"中庸"思想.在其教育主张中,"中庸"思想充分体现在其教育目标是培养具有"中庸"之道的统治者之中,他们还确立了因材施教、注重道德实践、循序渐进以及美育与德育相结合的教育原则.     

儒家"中和"哲学与社会和谐理念

儒家文化崇尚中道,主张“和而不同”。“中和”精神是儒家推崇的人生境界,集诚信与仁爱为一体。它表现在人的行为中,是人与人和谐相处的中庸之道,表现在社会存在中,是礼治仁政的“群居和一”之道。礼制文化是一种等级和谐,带有历史的局限性。而中和精神则体现了以人为本的人文关怀与社会和谐理想,是建设现代和谐社会的有益的文化资源。     

论儒家的生态伦理自然观——“时中”生态智慧与同心圆生态模型

儒家重“时”尚“中”,其生态伦理自然观的精神内核是“时中”。儒家生态伦理自然观具有两重内涵,一是贵人而不惟人的非人类中心主义生态伦理情感立场,二是尽物而亦爱物的待物有别的生态伦理价值选择。在生态文明特别是生态伦理的意义上,两者都遵循着同心圆的生态模型。基于此,儒家的生态伦理自然观对当前的生态文明建设具有非常重要的资源意义和启发作用。     

亚里士多德“幸福”之可能

亚里士多德是西方哲学史上最伟大的哲学家之一,其思想影响极其深远。其中他的幸福观是其伦理学研究的核心。他把“幸福”作为人生追求的最终目的;认为幸福在于德性,实践性的现实活动;指出中道原则在实现幸福中的重要作用。尽管在一定程度上,亚里士多德的“幸福”太理想化、圣化。不过,其幸福观在今天仍有一定的借鉴意义。     

Analysis of robust design experiments with time-dependent ordinal response characteristics: a quality improvement study from the horticulture industry

An approach to the analysis of time-dependent ordinal quality score data from robust design experiments is developed and applied to an experiment from commercial horticultural research, using concepts of product robustness and longevity that are familiar to analysts in engineering research. A two-stage analysis is used to develop models describing the effects of a number of experimental treatments on the rate of post-sales product quality decline. The first stage uses a polynomial function on a transformed scale to approximate the quality decline for an individual experimental unit using derived coefficients and the second stage uses a joint mean and dispersion model to investigate the effects of the experimental treatments on these derived coefficients. The approach, developed specifically for an application in horticulture, is exemplified with data from a trial testing ornamental plants that are subjected to a range of treatments during production and home-life. The results of the analysis show how a number of control and noise factors affect the rate of post-production quality decline. Although the model is used to analyse quality data from a trial on ornamental plants, the approach developed is expected to be more generally applicable to a wide range of other complex production systems.     

Estimation of finite population mean in simple and stratified random sampling using two auxiliary variables

We propose an improved difference-cum-exponential ratio type estimator for estimating the finite population mean in simple and stratified random sampling using two auxiliary variables. We obtain properties of the estimators up to first order of approximation. The proposed class of estimators is found to be more efficient than the usual sample mean estimator, ratio estimator, exponential ratio type estimator, usual two difference type estimators, Rao (1991) estimator, Gupta and Shabbir (2008) estimator, and Grover and Kaur (2011) estimator. We use six real data sets in simple random sampling and two in stratified sampling for numerical comparisons.     

A fresh approach for intercession of nonresponse in multivariate longitudinal designs

The occurrence of nonresponse is very much plebeian in surveys, which troubles the analysis, and hence, an inappropriate inference is left out. To counterbalance the sour effects of the incompleteness, fresh imputation techniques have been proposed with the aid of multi-auxiliary variates for the estimation of population mean on successive waves. Properties of the proposed estimators have been elaborated, and they have been compared with the work of Priyanka et al. (2015). Detailed simulation study is carried out to substantiate the empirical and theoretical results. Several possible cases have been addressed in which nonresponse can occur.     

Merging data from multiple sources: pretest and shrinkage perspectives

In this article, we have developed asymptotic theory for the simultaneous estimation of the k means of arbitrary populations under the common mean hypothesis and further assuming that corresponding population variances are unknown and unequal. The unrestricted estimator, the Graybill-Deal-type restricted estimator, the preliminary test, and the Stein-type shrinkage estimators are suggested. A large sample test statistic is also proposed as a pretest for testing the common mean hypothesis. Under the sequence of local alternatives and squared error loss, we have compared the asymptotic properties of the estimators by means of asymptotic distributional quadratic bias and risk. Comprehensive Monte-Carlo simulation experiments were conducted to study the relative risk performance of the estimators with reference to the unrestricted estimator in finite samples. Two real-data examples are also furnished to illustrate the application of the suggested estimation strategies.