Parametric bootstrap inferences for the growth curve models with intraclass correlation structure

This paper presents parametric bootstrap (PB) approaches for hypothesis testing and interval estimation of the fixed effects and the variance component in the growth curve models with intraclass correlation structure. The PB pivot variables are proposed based on the sufficient statistics of the parameters. Some simulation results are presented to compare the performance of the proposed approaches with the generalized inferences. Our studies show that the PB approaches perform satisfactorily for various cell sizes and parameter configurations, and tends to outperform the generalized inferences with respect to the coverage probabilities and powers. The PB approaches not only have almost exact coverage probabilities and Type I error rates, but also have the shorter expected lengths and the higher powers. Furthermore, the PB procedure can be simply carried out by a few simulation steps. Finally, the proposed approaches are illustrated by using a real data example.     

A class of exponential-type ratio estimators of a general parameter

This paper addresses the problem of estimating a general parameter using information on an auxiliary variable X. We have suggested a class of exponential-type ratio estimators for the parameter and its properties are studied. It is identified that the estimators due to Upadhyaya et al. [Journal of Statistical Theory and Practice (2011), 5(2), 285–302] and Yadav and Kadilar [Revista Columbiana de Estadistica, (2013), 36(1), 145–152] are members of the proposed estimator. We have also shown that the suggested estimator is more efficient than the estimators of Upadhyaya et al. (2011 Upadhyaya, L.N., Singh, H.P., Chatterjee, S., Yadav, R. (2011). Improved ratio and product exponential type estimators. J. Stat. Theo. Pract. 5 (2): 285–302.[Taylor &; Francis Online] , [Google Scholar]) and Yadav and Kadilar (2013 Yadav, S.K., Kadilar, C. (2013). Improved exponential type ratio estimator of population variance. Revis. Colum. de Estadist. 36(1): 145–152. [Google Scholar]). Numerical illustration is provided in support of the present study.     

Sparse Bayesian variable selection in multinomial probit regression model with application to high-dimensional data classification

Here we consider a multinomial probit regression model where the number of variables substantially exceeds the sample size and only a subset of the available variables is associated with the response. Thus selecting a small number of relevant variables for classification has received a great deal of attention. Generally when the number of variables is substantial, sparsity-enforcing priors for the regression coefficients are called for on grounds of predictive generalization and computational ease. In this paper, we propose a sparse Bayesian variable selection method in multinomial probit regression model for multi-class classification. The performance of our proposed method is demonstrated with one simulated data and three well-known gene expression profiling data: breast cancer data, leukemia data, and small round blue-cell tumors. The results show that compared with other methods, our method is able to select the relevant variables and can obtain competitive classification accuracy with a small subset of relevant genes.     

欧元：世界经济的新变量

欧元是世界经济的一种新的影响因素,它将对中国经济和世界经济产生深远的影响。我国不仅要利用欧元运行之机与欧盟各国谈判,促使其降低对我国企业出口配额限制和反倾销税,改变其对我国的贸易歧视政策,而且我国的出口企业应建立欧元统一大市场观念,尽量利用各种金融工具进行保值、规避风险,尤其是实力强大的出口企业应考虑直接去单一化区内投资,以投资带动贸易,分享欧盟货币统一化的好处,绕过欧盟对我国的贸易壁垒,扩大我国在欧元区的市场份额。     

“项目下乡”发生与发展的政治社会学阐释———一个功能主义的分析路径简

文章将“项目下乡”的发生与发展置于特定的历史进程、宏观政治生态与社会基础中加以考察,研究认为：服务型国家建设、城乡差距和治道变革是客观理解“项目下乡”的宏观背景。“项目下乡”发生的基本逻辑是农村公共产品陷入自我供给困境,国家通过外源性输入,借助行政吸纳服务机制,完善农村公共产品供给,建构国家与农民有机联系的一种制度安排和现实选择。从现代国家的理想体制来看,“项目下乡”的发展不仅仅是简单的财政转移支付,改善农村公共产品的问题,更要着眼于变革传统乡村,促进村庄公共精神成长,增强内生性供给能力,实现国家与社会、政府与农民的合作共治。     

西部乡村—城镇转型多元评价指标体系的构建及应用

以乡村综合发展度、乡村—城镇变迁度、乡村—城镇协调度为测度标准,构建一套综合评价指标体系。以中国西部地区为研究对象,对2001—2010年十年间乡村—城镇转型发展态势进行分析和评价。研究结果表明:(1)从整体层面来看,西部地区乡村综合发展度不断提高,乡村—城镇变迁度不断加快,乡村—城镇协调度不断优化;(2)从省际层面来看,不同省区的乡村—城镇转型呈现出不同的发展面貌,具有较大的差距。     

影响大学生成才环境因素研究

大学生成才环境主要包括内环境与外环境。内环境是指与大学生的生理特点、意识与心理特征、学习动机及学习目的有关的因素。成才的外环境是指学习环境、社会环境、家庭环境、信息环境等。从影响大学生成才的内、外两个环境着眼,分析影响大学生成才过程的重要因素与内在规律,提出创造成才环境的途径与切入点。     

An intuitive risk factors search algorithm: usage of the Bayesian network technique in personalized medicine

The article focuses on the application of the Bayesian networks (BN) technique to problems of personalized medicine. The simple (intuitive) algorithm of BN optimization with respect to the number of nodes using naive network topology is developed. This algorithm allows to increase the BN prediction quality and to identify the most important variables of the network. The parallel program implementing the algorithm has demonstrated good scalability with an increase in the computational cores number, and it can be applied to the large patients database containing thousands of variables. This program is applied for the prediction for the unfavorable outcome of coronary artery disease (CAD) for patients who survived the acute coronary syndrome (ACS). As a result, the quality of the predictions of the investigated networks was significantly improved and the most important risk factors were detected. The significance of the tumor necrosis factor-alpha gene polymorphism for the prediction of the unfavorable outcome of CAD for patients survived after ACS was revealed for the first time.     

谈变动成本法的应用

就变动成本法与财务成本核算实现合二为一核算体制———实行单轨核算,进行研究,提出一套行之有效的核算办法,这将有利于企业责任成本的落实和实施,减轻会计人员的工作量;有利于企业生产经营的短期预决策,提高应对市场的快速反映能力。     

论民主政治的程序化

民主政治的理性就在于程序的理性。当今中国,不仅要把民主政治制度化,以树立民主政治的权威地位,而且应当努力使民主政治程序化,使民主政治特别是行政民主和党内民主的各项制度得到真正落实,加强社会主义民主政治建设,实现民主政治的制度化、规范化、程序化的统一。