Infiuence functions for certain parameters in discriminant analysis when a single discriminant function is not adequate

The influence function introduced by Hampel (1968, 1973, 1974) i s a tool that can be used for outlier detection. Campbell (1978) has derived influence function for ~ahalanobis's distance between two populations which can be used for detecting outliers i n discriminant analysis. Radhakrishnan and Kshirsagar (1981) have obtained influence functions for a variety of parametric functions i n multivariate analysis. Radhakrishnan (1983) obtained influence functions for parameters corresponding to "residual" wilks's A and i t s "direction" and "collinearity" factors i n discriminant analysis when a single discriminant function is ade- quate while discriminating among several groups. In this paper influence functions for parameters that correspond to "residual" wilks's A and its "direction" and "coplanarity" factors used to test the goodness of f i t of s (s>l) assigned discriminant func- tions for discriminating among several groups are obtained. These influence functions can be used for outlier detection i n m u l t i -variate data when a single discriminant function is not adequate.     

Great Expectatrics: Great Papers,Great Journals,Great Econometrics

The article discusses alternative Research Assessment Measures (RAM), with an emphasis on the Thomson Reuters ISI Web of Science database (hereafter ISI). Some analysis and comparisons are also made with data from the SciVerse Scopus database. The various RAM that are calculated annually or updated daily are defined and analyzed, including the classic 2-year impact factor (2YIF), 2YIF without journal self-citations (2YIF*), 5-year impact factor (5YIF), Immediacy (or zero-year impact factor (0YIF)), Impact Factor Inflation (IFI), Self-citation Threshold Approval Rating (STAR), Eigenfactor score, Article Influence, C3PO (Citation Performance Per Paper Online), h-index, Zinfluence, and PI-BETA (Papers Ignored – By Even The Authors). The RAM are analyzed for 10 leading econometrics journals and 4 leading statistics journals. The application to econometrics can be used as a template for other areas in economics, for other scientific disciplines, and as a benchmark for newer journals in a range of disciplines. In addition to evaluating high quality research in leading econometrics journals, the paper also compares econometrics and statistics, alternative RAM, highlights the similarities and differences of the alternative RAM, finds that several RAM capture similar performance characteristics for the leading econometrics and statistics journals, while the new PI-BETA criterion is not highly correlated with any of the other RAM, and hence conveys additional information regarding RAM, highlights major research areas in leading journals in econometrics, and discusses some likely future uses of RAM, and shows that the harmonic mean of 13 RAM provides more robust journal rankings than relying solely on 2YIF.     

VARIATION REDUCTION AND ROBUST DESIGNS

In this paper we consider two strategies for variation reduction. One of them is the exploitation of interactions. We also discuss the role of experiments in discovering interactions and in particular the use of robust designs to obtain the interaction between control and noise factors. Then we attempt to reduce the variation in a measurement system using a robust design.     

Bias correction and improved residuals for non-exponential family nonlinear models

In this paper we derive general formulae for the biases to order n ^?1 of the parameter estimates in a general class of nonlinear regression models, where n is the sample size. The formulae are related to those of Cordeiro and McCullagh (1991) and Paula (1992) and may be viewed as extensions of their results, Correction factors are derived for the score and deviance component residuals in these models. The practical use of such corrections is illustrated for the log-gamma model.     

基于FESA/TRIZ的机械产品创新设计方法

机械产品的设计一直注重于市场需求和产品功能的开发,随着科学和技术的发展,环境因素变得越来越重要。 提出一种基于功能一环境一结构分析( FESA)与TRIZ的机械产品创新设计方法,通过分析机械产品结构之间的功能要素 以及功能要素与环境要素的相互作用关系,确定机械产品中存在的问题。建立根原因模型图,寻找结构设计上的不足和 缺陷,利用TRIZ创新理论来实现机械产品的改进创新。通过污水处理系统的创新设计实例验证了该方法的可行性。     

品牌延伸影响要素的灰色优势分析

品牌延伸是近年来营销理论研究的重要内容与前沿性课题，基于消费者的评价成为品牌延伸重要的研究视角。本文构建了品牌延伸评估的灰色优势动态分析模型，以“苏宁”从电器到地产延伸进行实证研究。研究结果与A＆K研究结果有较高的一致性，但从综合关联度可以得知，不同因素在品牌延伸中所起的作用不同，互补性是最为重要的影响因素，其次是市场环境带来的机遇，再次是公司规模对消费者的影响。最后发现制造难度高，消费者对延伸的评估也较高，但是关联程度并不显著。     

论蒋介石个人独裁的制约因素

蒋介石的个人独裁在不同时期受各种主客观因素的影响和制约 ,呈现动态发展的特点。 1 92 7年至 1 938年 ,以国民党系统内的制约为主 ;1 938年至 1 94 7年训政结束后 ,以国民党系统外的制约为主 ;1 94 7年至 1 94 9年宪政时期 ,受来自各方面因素的综合制约。     

绿色防控的实施、应用、推广与政策:一个文献综述

从绿色防控的概念辨析与社会影响、绿色防控的实施情况和应用效果、农户对绿色防控的采纳意愿或行为、绿色防控推广应用的影响因素以及绿色防控的政策与建议五方面对相关文献进行梳理,研究发现,国内外学者针对病虫害绿色防控的研究主要集中于两个方面:一方面,从宏观的角度来谈绿色防控的现状、工作进展、出现的问题、制约因素、解决对策以及发展趋势;另一方面,从微观的角度,具体到某个区域某类农作物来分析绿色防控的效果评估以及上述各方面的研究。总体而言,当前对于绿色防控的研究多数侧重于自然科学的视角,而基于社会学视角来研究绿色防控的文献较少,特别是从农户视角对绿色防控技术采纳意愿进行的研究与探讨较为缺乏。最后,总结往后可供探讨的研究视角:基于农户视角下绿色防控采纳行为研究;农户、政府管理部门、技术推广部门、专业协会组织等参与主体的协同创新绩效研究。     

青岛地区农民生活消费特征及影响因素分析

改革开放以来,青岛地区农民的物质和精神文化消费观念变化显著,交通信息费增长迅速,医疗保健支出增加及突出性消费显著。农民收入增长缓慢,消费环境不健全,社会保障体系不完善是影响农民生活消费特征变化的主要因素,要进一步引导农民科学消费可从切实增加农民收入,完善社会保障体系,加强农村文化建设等几个方面着手。     

基于灰色关联度模型的中国林业经济增长影响因素分析

根据1978—2011年我国林业经济发展的相关数据,采用灰色关联度模型,实证分析了林业劳动力、固定资产投资、造林面积、林业科技、产权制度等要素对我国林业经济增长的影响。结果表明,各因素对林业总产值影响的大小顺序分别为资金投入、制度变迁、造林面积、劳动力投入和科技进步,其关联度系数分别为0.889 606 036、0.859 125 35、0.838 669、0.830 188 917、0.808 583 418。林业资本投入成为我国林业经济增长的主要因素,产权制度变迁因素对于林业经济增长具有正向的推动作用。