加入WTO中国企业统计面临的挑战与对策

中国加入WTO后,原有传统企业统计的外部环境、运营方式、统计核算的任务和功能、统计对象范围以及统计方法等必然要面临严峻的挑战。因此,要使企业健康和谐的发展,必须积极采取措施,制定应对策略:及时转变经营理念,建立健全信息管理系统,完善企业统计法制建设和管理体制,培养高素质的统计人才。     

中国上市公司多元化经营绩效的实证分析

通过随机抽样,计算我国57家上市公司1998年-2002年的平均盈利指标和风险指标,根据各公司多元化熵值的大小对样本总体进行分组,分析多元化程度对企业绩效的影响.研究发现1.多元化程度越高,公司的平均净资产收益率越高;2.多元化经营降低了公司收益率的波动水平;3.资产规模越小的公司越倾向于选择多元化经营.     

乡镇统计工作机制有效运转的思考

 乡镇统计是统计工作的重要基础,同时也是目前统计工作的薄弱环节。巩固和加强乡镇统计工作,推动乡镇统计基础工作规范化建设,促进乡镇统计工作机制有效运转,本文提出了具体的设想和思考。本文重点从乡镇统计站建设、人员建设、制度建设三个方面,对乡镇统计工作机制有效发挥作用进行研究,目的在于推进乡镇统计工作机制产生有效生产力。     

深度报道:历史性契约

关于“深度报道”的各种思考充斥于新闻传播学领域,遗憾的是,诸多的讨论却由于本体思考的缺失或倒错,最终偏离了期望的轨道,反造成知识上的混乱。究其实,“深度报道”是人类规避简单思维求取生存真相的一种努力。它一头扎进复杂的现实背景中去,该背景深入到事实的每一个原子中去,以至于特别的偏好事实的模糊性。它所追寻的是历史记忆的官能,它所采纳的是社会学的思考,它所贡献的是强烈的批判性。它是人类在“极速主义”时代求取清明的一种负责任的大努力。     

浅议知识经济下教育及其统计问题

教育在知识经济中的作用日益重要 ,它已成为一种产业 ,如何搞好教育经济统计将成为统计研究的重点。本文根据教育在知识经济中的作用 ,把教育引入生产函数 ,探讨了教育对经济增长的贡献。教育投入和产出如何进行衡量 ,如何将传统的投入产出理论运用于教育产业的统计核算中去 ,是我们对教育经济进行统计的关键问题。本文根据统计理论和知识经济下教育的发展特性提出了教育经济的投入与产出统计核算指标体系及评价教育效率指标体系 ,为知识经济下的教育统计提供理论参考     

Censored Kullback-Leibler Information and Goodness-of-Fit Test with Type II Censored Data

The Kulback-Leibler information has been considered for establishing goodness-of-fit test statistics, which have been shown to perform very well (Arizono & Ohta, 1989; Ebrahimi et al., 1992, etc). In this paper, we propose censored Kullback-Leibler information to generalize the discussion of the Kullback-Leibler information to the censored case. Then we establish a goodness-of-fit test statistic based on the censored Kullback-Leibler information with the type 2 censored data, and compare the test statistics with some existing test statistics for the exponential and normal distributions.     

甘蓝型油菜品种区试资料的非参数度量

应用秩次变量nij 和nij',非参数统计量Pi、Pi'、Si 和Dj 描述 1999年长江上游油菜品种区域试验资料。结果表明 :94 0 7N丰产性、稳产性最好 ,94杂 - 3、黔杂 97- 2次之。油 2 71丰产性最差 ,绵阳92 - 4 592稳产性最差。除曲靖、昆明点之外 ,其余试验点具有较好的代表性     

Taub-NUT黑洞的统计熵

避开求解波动方程的困难,利用量子统计的方法,直接计算轴对称Taub-NUT黑洞背景下玻色场和费米场的配分函数.然后利用改进的砖墙方法——膜模型,计算黑洞背景下的玻色场和费米场的熵.计算表明,黑洞的熵与视界面积成正比的结论只有在薄膜的厚度远小于截断因子或两者为同阶无穷小时成立,当无穷小薄膜的厚度远大于无穷小截断因子时,黑洞的熵有一个对数发散项,黑洞熵不再与视界面积成正比.     

Theory & Methods: Krige,Smooth, Both or Neither?

Both kriging and non-parametric regression smoothing can model a non-stationary regression function with spatially correlated errors. However comparisons have mainly been based on ordinary kriging and smoothing with uncorrelated errors. Ordinary kriging attributes smoothness of the response to spatial autocorrelation whereas non-parametric regression attributes trends to a smooth regression function. For spatial processes it is reasonable to suppose that the response is due to both trend and autocorrelation. This paper reviews methodology for non-parametric regression with autocorrelated errors which is a natural compromise between the two methods. Re-analysis of the one-dimensional stationary spatial data of Laslett (1994) and a clearly non-stationary time series demonstrates the rather surprising result that for these data, ordinary kriging outperforms more computationally intensive models including both universal kriging and correlated splines for spatial prediction. For estimating the regression function, non-parametric regression provides adaptive estimation, but the autocorrelation must be accounted for in selecting the smoothing parameter.     

Regression Modelling of Disease Risk in Relation to Point Sources

We describe a class of models for the investigation of possible raised risk of disease around putative sources of environmental pollution. An adaptation of the point process method suggested by Diggle and Rowlingson is presented, allowing the use of routinely available aggregated data and incorporating the more general distance–risk model suggested by Elliott and co-workers. An application to data on cancers of the stomach around municipal solid waste incinerators is presented.