Circular Binary Block Second- and Higher-Order Neighbor Designs

Some new neighbor designs are presented here. Second-order neighbor designs for different configurations are generated in circular binary blocks. Third-order and fourth-order neighbor designs for some cases are also constructed. In all cases, circular blocks are well separated and these designs are obtained through initial block/s. At the end of the study, some models for analysis of these designs are also presented.     

基于物流网络布局与设施选址动态因素的神经网络——遗传算法的研究

物流节点的布局和设施选址是整个物流网络构建的关键环节.采用神经网络与遗传算法相结合的数据挖掘模型,能够使整个物流网络布局和设施选址对于未来的情况具有预测性和自适应性.     

Rates of convergence for the k-nearest neighbor estimators with smoother regression functions

Let (X, Y  ) be a R^d×R-valued${\mathbb{R}}^d\times \mathbb{R}\mathrm{-}\mathrm{valued}$ random vector. In regression analysis one wants to estimate the regression function m(x)?E(Y|X=x)$m(x)?\mathbf{E}(Y|X=x)$ from a data set. In this paper we consider the rate of convergence for the k-nearest neighbor estimators in case that X   is uniformly distributed on [0,1]^d$[\mathrm{0,1}{]}^d$, Var(Y|X=x)$\mathbf{Var}(Y|X=x)$ is bounded, and m is (p, C)-smooth. It is an open problem whether the optimal rate can be achieved by a k  -nearest neighbor estimator for 1<p≤1.5$1<p\le 1.5$. We solve the problem affirmatively. This is the main result of this paper. Throughout this paper, we assume that the data is independent and identically distributed and as an error criterion we use the expected L₂ error.     

A class of beta regression models with multiplicative log-normal measurement errors

In this article, we propose a beta regression model with multiplicative log-normal measurement errors. Three estimation methods are presented, namely, naive, calibration regression, and pseudo likelihood. The nuisance parameters are estimated from a system of estimation equations using replicated data and these estimates are used to propose a pseudo likelihood function. A simulation study was performed to assess some properties of the proposed methods. Results from an example with a real dataset, including diagnostic tools, are also reported.     

程朱理学的正统化实现及其历史命运

程朱理学是中国封建社会时期统治时间最长、影响最深的一种官方哲学。但是,理学在其初始发展阶段由于被斥为"伪学"而几度遭到禁止。发生在北宋时期的"元学禁"以及南宋的"绍兴学禁"和"庆元学禁"都给理学以沉重打击。但理学毕竟是一种较为完备的客观唯心主义哲学体系,由于其政治适应性,尽管历经坎坷而终成正宗。这其中既有反道学斗争的缺陷,使得对理学的批判无力,也有魏了翁等人恢复发展理学的积极努力,更重要的是封建统治阶级对程朱理学的政治需要。因此,理学的正统化实现乃是历史的必然。程朱理学毕竟是封建地主阶级的哲学,其唯心主义的本质决定了它必将被民主主义的思想所取代,并最终退出历史舞台。     

缺失数据插补方法探讨——基于最近邻插补法和关联规则法

提出基于最近邻插补和关联规则的缺失数据插补方法,将不含缺失数据的变量作为辅助变量,通过定义距离函数寻找与含缺失数据的样本单元距离较近的样本,然后利用挖掘得到的关联规则支持度和提升度乘积的倒数作为权重,对样本单元之间的距离进行加权处理,得到加权距离,再用加权距离最小的样本单元对应的属性值对缺失值进行插补。这种方法可以解决由不同最近距离样本单元得到不同插补值的问题,最后给出了该方法的实施步骤和应用范例。     

思想政治教育传播效度的消融与重构——以网络拟态环境为话语空间

从传播学视域出发,思想政治教育可以看作是教育者与受教育者之间信息流动的过程,思想政治教育环境可以分为现实环境和拟态环境两个部分。网络拟态环境作为拟态环境的时代性产物,是网络对各种象征性事件或信息进行选择、加工,重新结构化后向人们提示的环境。其信息传播的广泛化、构建主体的多元化、形成主题的多变化、控制主体的大众化等特征分解和消融了思想政治教育信息传播的“中心性”、“主流性”、“稳定性”和“权威性”。思想政治教育可以通过参与网络拟态环境的议程设置,加强对网络拟态环境的“把关”,开展媒介素养教育来重构其在网络拟态环境中的传播效度。     

Determinants of happiness in Thailand: The moderating role of religiousness

This research investigates the influences of family satisfaction, health satisfaction, environmental livability, and neighbor relationship as determinants of happiness in Thailand. In this research, the moderating effects of religiousness in relation to the influences of different determinants of happiness are also investigated. The data were collected by telephone survey questionnaires developed by the Japan International Cooperation Agency. There were a total of 1,004 respondents. All research hypotheses were tested by means of hierarchical regression analysis, by which religiousness was tested as a moderating factor. The analysis results indicate that among all model variables, only family satisfaction, health satisfaction, and environmental livability positively affected happiness in Thailand. Additionally, the family satisfaction aspect played the most important role in predicting happiness. Moderator tests revealed that significant interaction effects existed only between religiousness and health satisfaction and between religiousness and environmental livability. Furthermore, in full regression analyses, only the moderating effect of religiousness on the relationship between environmental livability and happiness was negatively significant. Our results not only validate research findings in other countries but also verify the importance of family satisfaction, health satisfaction, environmental livability, and religiousness as important factors of happiness for public policy makers. Importantly, as an alternative explanation, our results suggest that religiousness can play an important role not only as a direct determinant of happiness but also as a moderator of determinants of happiness, especially in a Buddhist society such as Thailand.     

A Monte Carlo-based pseudo-coefficient of determination for generalized linear models with binary outcome

In this article, we focus on a pseudo-coefficient of determination for generalized linear models with binary outcome. Although there are numerous coefficients of determination proposed in the literature, none of them is identified as the best in terms of estimation accuracy, or incorporates all desired characteristics of a precise coefficient of determination. Considering this, we propose a new coefficient of determination by using a computational Monte Carlo approach, and exhibit main characteristics of the proposed coefficient of determination both analytically and numerically. We evaluate and compare performances of the proposed and nine existing coefficients of determination by a comprehensive Monte Carlo simulation study. The proposed measure is found superior to the existent measures when dependent variable is balanced or moderately unbalanced for probit, logit, and complementary log–log link functions and a wide range of sample sizes. Due to the extensive design space of our simulation study, we identify new conditions in which previously recommended coefficients of determination should be used carefully.     

Universally optimal designs under interference models with and without block effects

The concept of neighbor designs was introduced and defined by Rees (1967 Rees, D.H. (1967). Some designs of use in serology. Biometrics 23:779–791.[Crossref], [PubMed], [Web of Science ®] , [Google Scholar]) along with giving some methods of their construction. Henceforth, many methods of construction of neighbor designs as well as of their generalizations are available in the literature. However, there are only few results on their optimality. Therefore, the purpose of this article is to give an overview of study on this problem. Recent results on optimality of specified neighbor balanced designs under various interference models with block effects are presented and then these results are compared with respective models where block effects are not significant.