吉林省劳务经济发展促进机制及环境研究

大力发展劳务经济,是当前解决吉林省“三农”问题的重要战略选择。但是,吉林省劳务经济发展总体上仍然存在农村劳动力输出就业结构不合理、农民劳务收入与全国平均水平差距较大等问题。从吉林省劳务经济发展的促进机制和环境方面入手,提出促进吉林省劳务经济发展的具体措施,以使吉林省劳务经济健康有序地发展。     

如何建设与大学生自主管理相适应的校园环境

加强大学生自主管理能力的培养是充分体现和实践科学发展观”以人为本”思想的现实需要,是提升高校学生管理工作层次和水平的新要求,是进一步提高高校人才培养质量的迫切要求。高校校园环境建设要适应大学生自主管理,通过校园硬件和软件环境的建设,创设和营造大学生自主管理的环境和氛围,促进大学生的成才。     

论图书馆的信息推送服务

信息推送服务是一种个性化的主动信息服务,图书馆在服务过程中必须贯彻以人为本、主动服务、一站式服务、个性化服务理念;网络环境下,基于RSS的信息推送模式比较好的解决信息推送的技术手段,图书馆根据学校的特性选择信息,建立用户需求库、信息资源库,定制用户界面并协同数据库完成信息推送。因此,以用户为中心的信息推送技术必将成为未来信息获取技术的一个重要发展方向。     

战略环评与都市圈建设

都市圈的建设越是火热,越需要冷静的思考。目前都市圈建设面临的重要问题是环境保护,战略环评的缺位造成的损失难以在短时间内克服,只进行建设项目的环境影响评价是不够的,需要正确认识并切实推行战略环评。     

国外有关网络环境下知情权的立法现状及借鉴意义

网络环境下的知情权是传统知情权在网络这一特殊社会环境下的表现形式.在网络环境下,知情权的行使日益多样化,更加便捷高效,充分体现出公共参与性.美国、欧盟和亚洲国家针对网络环境下的知情权展开了积极的立法实践,而我国的相关立法仍处于缺位状态.应借鉴国外立法的先进经验,根据本国的宪政路径来选择知情权的立法模式,消除网络环境对传统法律制度造成的障碍,并结合网络环境下知情权的特点对立法进行制度设计.     

建立和完善大学生社会主义荣辱观教育的环境育人机制

社会主义荣辱观教育是当前大学生素质教育的基础和思想道德教育的重要内容,是一项具有复杂性、艰巨性、长期性的系统工程,更是一项牵动国民教育全局、关系到社会整体发展进程的系统的基础工程,需要调动和协调方方面面的力量, 发动社会各界齐抓共管,形成强大的教育合力.因此,建立和完善学校、家庭、社会"三位一体"的环境育人机制则成为大学生荣辱观教育长效机制实现的重要保证.     

Robust tests for the common principal components model

When dealing with several populations, the common principal components (CPC) model assumes equal principal axes but different variances along them. In this paper, a robust log-likelihood ratio statistic allowing to test the null hypothesis of a CPC model versus no restrictions on the scatter matrices is introduced. The proposal plugs into the classical log-likelihood ratio statistic robust scatter estimators. Using the same idea, a robust log-likelihood ratio and a robust Wald-type statistic for testing proportionality against a CPC model are considered. Their asymptotic distributions under the null hypothesis and their partial influence functions are derived. A small simulation study allows to compare the behavior of the classical and robust tests, under normal and contaminated data.     

中国制造业集聚：度量与显著性检验 ——基于集聚测量新方法

 根据集聚分布的自身特点,本文提出了可以进行显著性检验的普适性产业集聚指数,并对我国28制造业1994年的860个样本和2004年800个样本进行测量和检验,我们的计算结果表明,中国制造业的集聚强度总体上呈上升趋势,同时具有集聚和扩散双重现象。     

Modelling udder infection data using copula models for quadruples

We study copula models for correlated infection times in the four udder quarters of dairy cows. Both a semi-parametric and a nonparametric approach are considered to estimate the marginal survival functions, taking into account the effect of a binary udder quarter level covariate. We use a two-stage estimation approach and we briefly discuss the asymptotic behaviour of the estimators obtained in the first and the second stage of the estimation. A pseudo-likelihood ratio test is used to select an appropriate copula from the power variance copula family that describes the association between the outcomes in a cluster. We propose a new bootstrap algorithm to obtain the p-value for this test. This bootstrap algorithm also provides estimates for the standard errors of the estimated parameters in the copula. The proposed methods are applied to the udder infection data. A small simulation study for a setting similar to the setting of the udder infection data gives evidence that the proposed method provides a valid approach to select an appropriate copula within the power variance copula family.     

A permutation approach for testing heterogeneity in two-sample categorical variables

In many sciences researchers often meet the problem of establishing if the distribution of a categorical variable is more concentrated, or less heterogeneous, in population P ₁ than in population P ₂. An approximate nonparametric solution to this problem is discussed within the permutation context. Such a solution has similarities to that of testing for stochastic dominance, that is, of testing under order restrictions, for ordered categorical variables. Main properties of given solution and a Monte Carlo simulation in order to evaluate its degree of approximation and its power behaviour are examined. Two application examples are also discussed.