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凯立告倒证监会 被引量:1
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作者 李峻岭 《网际商务》 2001年第14期32-37,共6页
中国证券市场已经走过了10年的历程,这10年是大发展的10年,资本市场已经成为企业融资的重要场所。现在上市公司已经超过1000家,更多的企业把上市当做梦想。在市场规模不断扩大的同时,证券市场将更多地面临规范化的问题,这种规范化理应... 中国证券市场已经走过了10年的历程,这10年是大发展的10年,资本市场已经成为企业融资的重要场所。现在上市公司已经超过1000家,更多的企业把上市当做梦想。在市场规模不断扩大的同时,证券市场将更多地面临规范化的问题,这种规范化理应包括对所有市场主体行为的规范。欲上市公司、已上市公司、投资者的市场行为都需要规范,市场监管部门的行为同样需要规范。“凯立案”就是在这样的背景下发生,并引起广泛关注的。在案件审理过程中,中国证监会首席顾问梁定邦先生曾表示,证监会被告不是坏事。凯立告倒证监会,这是个里程碑。 展开更多
关键词 中国 证券监督管理委员会 证券市场 市场行为 规范化 “预选程序” 法律 核准制
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PRINCIPLES OF EFFECTIVE SELECTION AND THEIR APPLICATION WANG Bo
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作者 汪波 郭子秀 《Transactions of Tianjin University》 EI CAS 1996年第2期57+51-56,共7页
Successful selection principles and their application in China are discussed. In addition, the selection process of two Chinese Joint Ventures is reviewed. The paper emphasizes the importance of conducting structured ... Successful selection principles and their application in China are discussed. In addition, the selection process of two Chinese Joint Ventures is reviewed. The paper emphasizes the importance of conducting structured job relevant, behaviour or situation based interviews, with pre determined guideline answers and examples provided. The research showing the increased predictive validity of using this type of interview format is presented. The types of outcomes sought by Canadian employers and the attributes employees or agents should possess are provided. It is argued that these should serve as the basis for creating the interview format. The use of testing and reference checks is also discussed. 展开更多
关键词 selection process predictive validity reference check
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Variable Selection Procedures in Linear Regression Models with Screening Consistency Property
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作者 XIE Yanxi XIA Zhijie +1 位作者 WANG Xiaoli YAN Ruixia 《International English Education Research》 2017年第1期34-37,共4页
There are two fundamental goals in statistical learning: identifying relevant predictors and ensuring high prediction accuracy. The first goal, by means of variable selection, is of particular importance when the tru... There are two fundamental goals in statistical learning: identifying relevant predictors and ensuring high prediction accuracy. The first goal, by means of variable selection, is of particular importance when the true underlying model has a sparse representation. Discovering relevant predictors can enhance the performance of the prediction for the fitted model. Usually an estimate is considered desirable if it is consistent in terms of both coefficient estimate and variable selection. Hence, before we try to estimate the regression coefficients β , it is preferable that we have a set of useful predictors m hand. The emphasis of our task in this paper is to propose a method, in the aim of identifying relevant predictors to ensure screening consistency in variable selection. The primary interest is on Orthogonal Matching Pursuit(OMP). 展开更多
关键词 variable selection orthogonal matching pursuit high dimensional setup screening consistency
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