如何创建学习型企业的探讨

所谓"学习型企业"它是以共同远景为基础,以团队学习为特征的横向网络系统,它强调"学习+激励"不但使人勤奋工作,而且尤为注意使用"更聪明地工作"。它以增强企业的学习力为核心,提高群体智商,使员工体现出生命意义,自我超越,不断创新达到企业的财富递增,服务超值目标。创建"学习型企业",具体实施方法是:     

建设学习型组织是提高组织核心能力的关键

本文在对相关学习型组织、核心能力理论综述的基础上,提出建设学习型组织实质是创建一个能熟练地创造、获取、传递和提高组织的核心能力的组织,二者相辅相成,缺一不可,并提出建设学习型组织和提高核心能力的有效途径和目的。     

全面建设学习型政府统计机构

在知识经济时代，各行各业都在为应对不断变化的环境压力和日益增长的不确定性、不稳定性的挑战，纷纷通过建立学习型组织来寻求生存、发展、变革和成长。统计部门作为一种特殊的政府组织形式，更应该在学习型社会中拥有自己的声音和形象，要有建设学习型政府统计机构的目标，并为实现这一目标而不断努力。     

积极创建学习型机关切实提升统计服务水平

建设学习型机关,是时代赋予的历史使命,对于统计工作应对信息化和知识经济的挑战,服务于哈尔滨市改革开放和现代化建设都具有重要意义。创建学习型机     

浅析银行统计的组织管理

银行统计是国民经济统计体系的重要组成部分,对国家及时、准确地了解现实经济运行状况,适时采取调节措施,具有重要的意义。银行由于其在经济中的特殊地位,具有分支机构多、交易量大、涉及社会经济层面广的特点,因此,要保证对银行统计信息及时、灵敏、准确、连续的要求,就需要在银行统计工作中建立健全统计信息网络,开展有效的统计组织管理。     

浅议如何搞好企业统计工作

企业统计工作是对企业实行科学管理、监督整个企业活动的重要手段,是企业制定政策和计划的主要依据。假如没有科学的统计依据,对企业而言,各项管理就如空中楼阁,虚而不实。而统计工作的主体是统计机构和统计人员,这是搞好统计工作的关健和基础。统计人员又是统计工作的具体执行者,他们的素质如何,     

自主探究模式下英语学习目标定向的统计研究

通过对自主探究学习模式的实证研究,分析、总结了学习者在该模式下的英语学习目标定向的构成,探讨各种学习目标定向与教学绩效的关系,发现自主探究模式可以显著提高外语教学绩效。在此模式下,学习者的学习目标定向以成绩目标定向为主。与掌握目标定向相比,成绩目标定向的确可以显著提高教学绩效。     

Statistical learning theory for fitting multimodal distribution to rainfall data: an application

The promising methodology of the “Statistical Learning Theory” for the estimation of multimodal distribution is thoroughly studied. The “tail” is estimated through Hill's, UH and moment methods. The threshold value is determined by nonparametric bootstrap and the minimum mean square error criterion. Further, the “body” is estimated by the nonparametric structural risk minimization method of the empirical distribution function under the regression set-up. As an illustration, rainfall data for the meteorological subdivision of Orissa, India during the period 1871–2006 are used. It is shown that Hill's method has performed the best for tail density. Finally, the combined estimated “body” and “tail” of the multimodal distribution is shown to capture the multimodality present in the data.     

On Smooth Statistical Tail Functionals

Many estimators of the extreme value index of a distribution function F that are based on a certain number k _n of largest order statistics can be represented as a statistical tail function al, that is a functional T applied to the empirical tail quantile function Q _n. We study the asymptotic behaviour of such estimators with a scale and location invariant functional T under weak second order conditions on F . For that purpose first a new approximation of the empirical tail quantile function is established. As a consequence we obtain weak consistency and asymptotic normality of T ( Q _n) if T is continuous and Hadamard differentiable, respectively, at the upper quantile function of a generalized Pareto distribution and k _pn tends to infinity sufficiently slowly. Then we investigate the asymptotic variance and bias. In particular, those functionals T re characterized that lead to an estimator with minimal asymptotic variance. Finally, we introduce a method to construct estimators of the extreme value index with a made-to-order asymptotic behaviour     

统计虚假成因及治理对策研究

《统计法》已实施20余年,但统计数据虚假现象仍然十分严重。文章从统计体制、统计方法、执法缺陷等方面探析了统计数据虚假成因及治理对策。同时,现行《统计法》亟需修改完善。     

统计工程与21世纪统计教育的思考

21世纪是世界各国进行高科技战略决战的世纪。信息技术是核心,统计技术的工程化将给21世纪的科技发展提供技术高科技。20世纪中期,6-δ的统计管理技术将日本带入了经济发达大国。21世纪初,中国能否应用统计工程技术也能进入世界发达国家的行列?文章旨在统计工程化的技术分析中为统计知识体系创新提出了个人的理解,并对统计工程与未来科技发展的关系,特别是21世纪的统计教育提出了新的见解。     

对高职统计教学改革的再思考

本文针对高职统计教学培养的目标及存在的问题,从教学内容、教材、实践及师资等四个方面提出了改革的意见。     

On Future Directions in Statistical Methodologies – Some Speculations

Abstract. We, as statisticians, are living in interesting times. New scientifically significant questions are waiting for our contributions, new data accumulate at a fast rate, and the rapid increase of computing power gives us unprecedented opportunities to meet these challenges. Yet, many members of our community are still turning the old wheel as if nothing dramatic had happened. There are ideas, methods and techniques which are commonly used but outdated and should be replaced by new ones. Can we expect to see, as has been suggested, a consolidation of statistical methodologies towards a new synthesis, or is perhaps an even wider separation and greater divergence the more likely scenario? In this talk these issues are discussed, and some conjectures and suggestions are made.     

Statistical inference for queueing models

The paper briefly describes methods and results in the statistical analysis of queueing systems     

Statistical analysis of rock-burst events in underground mines and excavations to present reasonable data-driven predictors

Rock bursts are sudden and violent failures of surrounding rockmasses in underground mines and excavations. In this paper, a database consisting of 188 case histories was collected. Each case history contains some of the predictor variables ‘overburden thickness, maximum tangential stress, uniaxial compressive strength of rock, tensile strength of rock, stress ratio, brittleness ratio and elastic energy index’ and one of the four defined classes for the dependent variable ‘rock burst intensity’. A strategy, including ‘outlier detection and substitution, normality evaluation, deduction of distribution functions, estimation of mean and mean variation ranges, evaluation of mean-equality and distribution function-equality hypotheses, correlation analysis and factor analysis for in-review variables’, was implemented. The strategy led to conclude that some predictor variables with available case histories have no contributions for rock burst prediction. These inferences were in accordance with the results of regression techniques for qualitative dependent variables. Besides, many predictor variable arrangements were incompatible with factor analysis. In the case of compatible arrangements, the variation of the predictor variables cannot be considerably reflected. Application of nonlinear principal component analysis using auto-associative neural networks did not also lead to representative components. Therefore, the significant predictor variables can only be used to design new classifiers.