数据分布诊断对排队模型优化影响——基于兰州市某油库排队问题数据

对甘肃省兰州市某油库真实排队数据进行分布诊断,发现用M/G／C/∞排队模型计算出来的平均队长和平均等待时间比M／M／C／∞排队模型减少了一半．应根据数据分布诊断结果科学选择排队模型。     

风电偏航、变桨轴承寿命试验装置研制

本文针对风电偏航轴承、变桨轴承的性能特点,按照风机受力载荷谱,模拟风机轴向和径向受力特点进行加载,从而实现对特大型偏航、变桨轴承的寿命和冲击性能进行试验,并由此验证轴承设计和制造是否符合风电场实际应用要求。结果证明,本文采用的试验方法和装置能够有效地模拟轴承实际受力工况,具有较强的创新和实用性,填补国内空白,并在国际上处于相对领先地位。     

加强试验检测工作 提高公路工程质量

结合当前农村公路工程建设过程中存在的质量问题,浅谈如何加大试验检测工作力度,切实提高农村公路工程质量。     

Are stock prices related to the political uncertainty index in OECD countries? Evidence from the bootstrap panel causality test

This study applies the bootstrap panel causality test proposed by Kónya (2006. Econ Modell 23, 978) to investigate the causal link between political uncertainty and stock prices for seven OECD countries over the monthly period of 2001.01 to 2013.04. This modeling approach allows us to examine both cross-sectional dependency and country-specific heterogeneity. Our empirical results indicate that not all the countries are alike and that the theoretical prediction that stock prices fall at the announcement of a policy change is not always supported. Specifically, we find evidence for the stock price leading hypothesis for Italy and Spain, while the political uncertainty leading hypothesis cannot be rejected for the United Kingdom and the United States. In addition, the neutrality hypothesis was supported in the remaining three countries (Canada, France and Germany), while no evidence for the feedback hypothesis was found.     

浅谈中日古典园林艺术

采用对比分析的方法,阐述中日古典园林形成差异的原因,对两国园林类型分类叙述,最后通过造园五大要素展开比较,进一步了解中日古典园林艺术的异同及各自的优秀品质。     

江苏省大学生就业率预测分析

利用灰色系统理论建立了大学生就业率动态预测模型,结合江苏省就业率的统计数据对2003—2008年的就业率进行了模拟,并对结果进行了精度检验,结果表明,模型模拟精度高。最后,用此模型对江苏省未来5年的就业率进行了预测,并对就业形势进行了分析。     

《互换性与技术测量》课程实验教学的探索

实验教学作为高等学校实践教学的重要组成部分,是培养学生创新意识和实践能力的重要途径。文章针对传统《互换性与技术测量》课程实验的教学,突破传统的实验教学模式,大胆改革创新,同时引入比较性实验教学方法。这种方法为培养应用性和实用性人才,也可为满足市场人才的需要奠定良好的基础。     

关于职业类院校提高教学质量的思考

本文针对目前职业教育中存在的问题从转变观念、提高学生综合素质、提高学生的课堂参与度、改革考试方法、提高学生专业技能等五个方面提出了自己几点粗略的看法。     

合约变异在测试数据优化中的研究及应用

软件测试是保证Web服务质量的重要技术手段,测试数据生成是Web服务测试的重要内容,而生成的初始测试数据量大,数据冗余,为了减少初始测试数据数量,提高测试数据的有效性,本文在变异测试方法的基础上,使用合约变异方法对初始测试数据进行优化,据此可以生成一批达到一定变异充分度的有效测试数据,并通过实验验证了方法的有效性。     

Parametric Robust Test for Several Variances with Unknown Underlying Distributions

Tsou (in comm Stat-Theor Math 32: 2013–2019, 2003) proposed a parametric robust procedure for testing the equality of two population variances. With large samples the proposed test remains valid under model misspecification. In this article the robust technique is further extended to the comparison of several population variances. More specifically the score test derived on the basis of normal models is adjusted to become robust. The adjusted robust test provides asymptotically valid inference so long as the true underlying distributions have finite fourth moments. Unlike most robust nonparametric approaches, this novel robust technique too provides legitimate variance estimates for estimators of the interested parameters.