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.     

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.     

基于遗传算法的有柔性路径的动态调度问题研究

建立了有柔性路径的FMS动态调度问题的模型．采用离线重调度的方法，提出一种结合离线重调度两种生成调度方式的方法来阐述FMS的有柔性路径动态调度问题．最后给出了该问题的遗传算法解决方法和计算示例．     

论政治语言的结构

分析和研究政治语言的系统结构及结构要素之间的相互关系 ,是研究政治语言的重要内容 ,有利于更好地认识和把握政治语言。政治语言结构是一种特殊的层级系统 ,其要素包括符号、符号系统、符码、文本、语境和话语。政治语言结构的要素之间相互作用、相互关联 ,共同构成了政治语言的系统 ,并以其特有的方式表达政治意义 ,服务于政治活动     

基于RS和GIS的龙口市居民地动态变化研究

选择Landsat 1986.6和2002.6两个时期的TM影像,经过多波段彩色合成处理,在分析居民地等多种地物的光谱特征及谱间特征的基础上,建立了居民地信息提取的光谱模型,提取并制作了两个时段的居民地分布图.在此基础上,简要分析了胶东半岛龙口市近20年来居民地动态变化的特点.     

两相交流伺服电机动态性能的研究

对于两相交流电机的速度伺服系统,分析在幅值控制时系统的机械特性与调节特性,提出了影响两相交流伺服电机动态性能的因素是系统的机械时间常数及增益系数的变化。为了防止因机械时间常数及增益系数的变化而引起的动态特性变差,采用一种简易跟随模型参考自适应控制方法,通过模型与自适应机构的调节作用,改善两相交流伺服电机系统的动态特性和控制精度。计算机仿真结果表明,电机的动态持性良好。     

网络环境下的学习模式探索

教育模式是教育观念、教育思想、教与学理论的集中体现,网络的出现为学习者提供了适应个性化需求的自主学习的机会,建立满足不同学生需要的网络学习模式,是网络教学的当务之急。     

福建省耕地流向及其与经济发展的关系

土地利用数量的净变化是土地双向变化的结果。在单一土地利用类型动态度模型基础上利用单一土地利用动态变化辅助方法:列表清单法和单一土地利用动态度双向模型,对福建省及各设区市耕地流向进行分析。并在此基础上,研究了福建省耕地的减少与经济发展的关系,提出福建省耕地保护的措施。     

列宁晚年经济发展动力思想的利益转向

20世纪20年代初,苏维埃俄国在国内战争结束后,进入恢复建设时期,但经济发展却面临着严重的主体动力危机,其重要原因在于“战时共产主义”政策缺乏对劳动群众的利益关怀。对危机的反思使列宁领导下的布尔什维克党实现了经济发展动力问题上的利益转向,实行了新经济政策,从而通过以人民群众利益为中心、以利益的驱动和引导为特征的经济发展动力机制和与之相适应的体制措施,使苏俄经济得到了恢复和发展。     

"生态旅游"概念探微

选取国外 44个生态旅游定义作为研究对象 ,通过确认关键词、对关键词进行聚类分析 ,将定义内容归纳为 6大类 11组分 ,进而构建生态旅游概念模型。在检验模型理论上的可靠性和实践上的适应性后 ,依据模型提出自己的生态旅游定义