简论知识经济时代创新人才的继续教育培训模式

随着以科技创新为主要特征的知识经济时代的来临 ,继续教育要适应现代社会发展的需要 ,培养具有创新意识、创新能力的高素质人才 ,必须在教育观念、培养目标、教学内容、教学方法、教学手段、师资队伍等方面进行改革和创新 ,探索出适应知识经济时代需要的创新人才继续教育培训模式。     

佛山市场营销系统工程若干问题

本文把佛山市场营销作为系统工程来研究。主要论述三个问题:佛山市场划分系统、营销运行系统和营销策略及其系统效应。     

顾客价值创新:战略分析的基点

传统的战略分析是以竞争为基点的。其目的是如何比竞争对手做得更好。在这种思维指导下 ,企业经营往往产生竞争激烈、市场不敏感、反应性行为、缺乏创新等后果。在复杂多变的环境中 ,战略分析应转移到顾客价值创新上来。顾客价值创新战略通过为顾客提供完全新型或得到重大改进的价值而使企业经营与竞争无关。顾客价值创新战略与竞争基点战略在战略导向、对竞争的认知及态度、企业本身实力的认识等具有明显不同的特征 ;进行顾客价值创新可以按照顾客价值创新循环机制进行 ,这一循环机制以顾客消费流程分析为起点 ,由创新机会认别、资源需求分析及价值创新实施等环节构成。     

一般Gauss－Markov模型下一般可估函数的线性充分性和线性完全性

发展了Ｂａｋｓａｌａｒｙ和Ｄｒｙｇａｓ提出的一般Ｇａｕｓｓ－Ｍａｒｋｏｖ模型中线性充分性、最小充分性和完全性的概念，用Ｒａｏ的最小二乘统一理论，给出了这些概念的刻划定理。     

我国网络经济发展研究

阐述了网络经济的特点及其我国网络经济的现状和发展的必要性 ,提出建立适于网络经济发展的大环境、更新观念、注重人才培养、完善金融体系、建立虚拟企业和发展电子商务等几个方面的发展途径 ,并对利用网络经济的后发优势实现经济的跨跃式发展进行了探讨。     

抚顺天湖大桥索夹安装方法

抚顺天湖大桥是一座自锚式悬索桥，主缆材料采用钢丝绳，索夹安装前通过主缆与索夹摩阻系数试验，深入研究了高强螺栓预紧力损失的规律，获得了索夹安装的一系列控制参数；介绍了无猫道施工悬索桥使用移动平台安装索夹的方法和索夹安装时高强螺栓的施拧方案。     

Robust confidence interval for a residual standard deviation

The residual standard deviation of a general linear model provides information about predictive accuracy that is not revealed by the multiple correlation or regression coefficients. The classic confidence interval for a residual standard deviation is hypersensitive to minor violations of the normality assumption and its robustness does not improve with increasing sample size. An approximate confidence interval for the residual standard deviation is proposed and shown to be robust to moderate violations of the normality assumption with robustness to extreme non-normality that improves with increasing sample size.     

降低商务成本 优化投资环境

我国作为一个经济发展势头强劲的国家,改善投资环境,增强投资环境的吸引力十分重要。商务成本是投资环境重要的组成部分。本文着重阐述了商务成本的内涵、影响因素及降低商务成本的主要途径。     

房产典当及其立法思考

房产典当,性质上属于营业抵押,是典当行为了确保在当期届满时出当人归还当金本息,对于出当人所有的不转移占有的不动产当物所设定的一种担保;应在未来的《物权法》的“抵押权”中增设“营业抵押权”的一般规定,并出台一部由最高立法机关制定的特别法《典当法》,以具体规定房产典当法律关系。     

Uncertainty Analysis for Computer Model Projections of Hurricane Losses

Projecting losses associated with hurricanes is a complex and difficult undertaking that is wrought with uncertainties. Hurricane Charley, which struck southwest Florida on August 13, 2004, illustrates the uncertainty of forecasting damages from these storms. Due to shifts in the track and the rapid intensification of the storm, real-time estimates grew from 2 to 3 billion dollars in losses late on August 12 to a peak of 50 billion dollars for a brief time as the storm appeared to be headed for the Tampa Bay area. The storm hit the resort areas of Charlotte Harbor near Punta Gorda and then went on to Orlando in the central part of the state, with early poststorm estimates converging on a damage estimate in the 28 to 31 billion dollars range. Comparable damage to central Florida had not been seen since Hurricane Donna in 1960. The Florida Commission on Hurricane Loss Projection Methodology (FCHLPM) has recognized the role of computer models in projecting losses from hurricanes. The FCHLPM established a professional team to perform onsite (confidential) audits of computer models developed by several different companies in the United States that seek to have their models approved for use in insurance rate filings in Florida. The team's members represent the fields of actuarial science, computer science, meteorology, statistics, and wind and structural engineering. An important part of the auditing process requires uncertainty and sensitivity analyses to be performed with the applicant's proprietary model. To influence future such analyses, an uncertainty and sensitivity analysis has been completed for loss projections arising from use of a Holland B parameter hurricane wind field model. Uncertainty analysis quantifies the expected percentage reduction in the uncertainty of wind speed and loss that is attributable to each of the input variables.