Ridge Regression Estimation for Survey Samples

This paper describes procedure for constructing a vector of regression weights. Under the regression superpopulation model, the ridge regression estimator that has minimum model mean squared error is derived. Through a simulation study, we compare the ridge regression weights, regression weights, quadratic programming weights, and raking ratio weights. The ridge regression procedure with weights bounded by zero performed very well.     

Smoothing techniques via the bezier curve

Although the Bezier curve is very popular in the area of computational graphics it has rarely been used by statisticians. In this paper we develop methods and techniques for use of the Bezier curve in estimation of density and regression function. Also, asymptotic mean integrated square error for both estimators are derived. Comparisons with kernel estimator are conducted using simulation.     

Designs for estimating the difference between two responses

In this paper the problem of designing experiments for estimating the difference between responses at two arbitrary points in the region of interest is considered. Under the average mean squared error criterion the design moment conditions have been worked out. The results have been applied to the class of central composite designs.     

Regularization through variable selection and conditional MLE with application to classification in high dimensions

It is often the case that high-dimensional data consist of only a few informative components. Standard statistical modeling and estimation in such a situation is prone to inaccuracies due to overfitting, unless regularization methods are practiced. In the context of classification, we propose a class of regularization methods through shrinkage estimators. The shrinkage is based on variable selection coupled with conditional maximum likelihood. Using Stein's unbiased estimator of the risk, we derive an estimator for the optimal shrinkage method within a certain class. A comparison of the optimal shrinkage methods in a classification context, with the optimal shrinkage method when estimating a mean vector under a squared loss, is given. The latter problem is extensively studied, but it seems that the results of those studies are not completely relevant for classification. We demonstrate and examine our method on simulated data and compare it to feature annealed independence rule and Fisher's rule.     

我国解决劳动争议的市场化运行模式探讨

随着企业应对竞争的意识加强,企业运作机制和组织行为的调整将更为频繁,劳动争议数量迅速增加,主要表现在体制活力不够、调整规模受限、缺少民间行业性平台、专业法律咨询渠道少.通过宏观体制改革,建立劳动事务所,作为市场化运作的行业平台,承接发生在劳动关系基层的数量众多的咨询服务和争议调解工作是解决劳动争议的有效途径.     

民生论

民生问题是建设和谐社会的根基。近年来,中国政府和许多社会团体在保障民生、改善民生方面做了大量工作。可是,由于在认识论上缺乏辩证法,往往容易从一个极端走向另一个极端。建议政府职能进一步向民生政府的方向转变,把社会还给社会。在继续坚持“以经济建设为中心”的同时,准备迎接“以社会建设为中心”这一顺乎时代潮流的大趋势。民生研究是学术研究的生长点,学术界应当把对民生问题的研究当作“学”字第一号的大课题,从而为民生问题献计献策。     

关于电信公司绩效管理优化措施的探讨——以F电信分公司为例

绩效管理是现代企业管理的基本要求,是人力资源管理的核心职能之一.F电信分公司绩效管理过程中存在着资源管理混乱、市场营销陈旧、考核标准不科学等问题,需结合绩效管理的实际情况,改进现行的绩效管理方式,以真正提高F电信分公司的经营绩效.     

产品网络化制造的协同管理

随着世界经济的快速发展,制造产业也发生了一场新的革命,新的制造技术与制造思想层出不穷。以此为背景产生了敏捷制造业。网络化联盟制造继承了敏捷制造的一些思想基础,使制造企业相互配合,建立联盟,形成虚拟企业,共享制造资源与经验,以此获得共同利润。在制造业领域中,网络化协同管理已成为新的趋势。     

大学英语听力学习现状及策略使用调查研究——以湖南四所本科院校为实例

英语听力的提高一直是大学英语教学的重点和难点,随着英语四、六级考试的改革,对英语听说能力的要求变得更高。本研究通过问卷调查的形式,对湖南四所本科院校400名非英语专业大学生的听力现状及学习策略使用情况进行调查分析。调查发现非英语专业大学生对听力策略的使用处于中低等频率水平,听力教学应予以更正确积极的引导,以期使大学英语听力的教与学获得优化。