论亨普尔的科学观

亨普尔的科学观是以逻辑经验主义为其基本立场,以数理逻辑为其科学研究的方法,在此基础上对科学的结构与功能、科学的形成过程及其合理性、进步性的根据进行深入探讨,从而达到进一步改进科学,为科学的发展服务的目的。他的科学观指引他对科学的重要问题进行深入系统逻辑严密的研究,其所有作都是围绕对科学问题的研究展开的。他放宽了经验主义认识观的范围,指出在方法论中对科学目标的解释存在一个从语义的本体论到认识论地相对化的转向,逻辑经验主义认识意义标准具有整体论的倾向;在关于科学合理性问题上他试图融合历史的和逻辑经验主义的观点。     

对基于校企合作的“2+6”专业实践教学改革的探索与实践——以湖南工程学院与德力西电气联合培养电气工程专业应用型本科人才为例

在对比欧美"CDIO工程教育"模式和德国"FH"模式的基础上,结合基于校企合作的"2+6"实践教学改革,以湖南工程学院与德力西电气"企业+学校+学生"开展的联合培养"选择性+创新型"应用型人才为例,对基于校企合作的"3+1"联合培养"卓越工程师"的教学改革进行探索与研究。     

3G数字图书馆信息服务模式的构建

随着3G的普遍应用,3G数字图书馆信息服务越来越引起人们的重视。3G网络下的数字图书馆将在服务内容、服务理念以及服务模式等方面做出突破以往的重大变革,图书馆服务也将向更高质、更高效、更个性化和更人性化方向发展。随着3G技术日臻完善以及网络建设的规模化的提高,3G手机用户也与日俱增,加之我们不断改良其带宽性能,无线网络大有替代传统网络的趋势,因此现代的数字图书馆开展3G服务具有广阔的发展前景。     

中国3G通信市场的发展竞争浅析

中国通信市场的格局,也将随着3G时代的到来而被打破,未来通信领域,必将是一出精彩的三国演义.中国的移动市场不再任由中国移动一家用庭信步,唯我独尊.我们坚信,再过上一段时间等待3G网络成熟.届时,3G会褪去华丽的包蓑,走入寻常百姓家.     

论3G初期联通市场策略

2008年10月15日,新联通公司正式挂牌成立,新公司定名为"中国联合网络通信有限公司";2009年1月7日,工业和信息化部为中国移动、中国电信和中国联通发放3张第三代移动通信(3G)牌照,此举标志着我国正式进入3G时代.本文将围绕联通公司获得WCDMA牌照后在3G时代的市场定位,从宣传、业务、后台支撑三大方面论述公司所应采取的市场策略.     

2G用户向3G迁移的策略分析

3G牌照下发后,如何将用户迁移到3G的研究成为业界的焦点。首先采用系统动力学的分析方法,建立动力学模型,找出影响移动用户迁移到3G的因素。然后通过模型对增强广告力度、增大3G终端补贴、提高3G业务吸引度、降低3G资费及提高3G服务质量等策略进行仿真模拟,得出这些策略都能加快用户向3G转移的结论。     

国内移动运营商营销移动阅读业务的思考

随着我国3G网络建设的快速展开,成功实现3G应用的迫切性日益显现。移动阅读作为在国外十分成功的一种无线应用,在被中国的移动运营商移植到国内时,因为中国特殊的国情会有着不同的市场前景。除了开发基于专用阅读器的移动阅读服务之外,还要拓展使用各种已有手机终端的移动阅读才能够使移动阅读业务成熟发展。     

Nonparametric covariate adjustment for receiver operating characteristic curves

The accuracy of a diagnostic test is typically characterized using the receiver operating characteristic (ROC) curve. Summarizing indexes such as the area under the ROC curve (AUC) are used to compare different tests as well as to measure the difference between two populations. Often additional information is available on some of the covariates which are known to influence the accuracy of such measures. The authors propose nonparametric methods for covariate adjustment of the AUC. Models with normal errors and possibly non‐normal errors are discussed and analyzed separately. Nonparametric regression is used for estimating mean and variance functions in both scenarios. In the model that relaxes the assumption of normality, the authors propose a covariate‐adjusted Mann–Whitney estimator for AUC estimation which effectively uses available data to construct working samples at any covariate value of interest and is computationally efficient for implementation. This provides a generalization of the Mann–Whitney approach for comparing two populations by taking covariate effects into account. The authors derive asymptotic properties for the AUC estimators in both settings, including asymptotic normality, optimal strong uniform convergence rates and mean squared error (MSE) consistency. The MSE of the AUC estimators was also assessed in smaller samples by simulation. Data from an agricultural study were used to illustrate the methods of analysis. The Canadian Journal of Statistics 38:27–46; 2010 © 2009 Statistical Society of Canada     

Some tests for uniformity of circular distributions powerful against multimodal alternatives

The author introduces new statistics suited for testing uniformity of circular distributions and powerful against multimodal alternatives. One of them has a simple expression in terms of the geometric mean of the sample of chord lengths. The others belong to a family indexed by a continuous parameter. The asymptotic distributions under the null hypothesis are derived. We compare the power of the new tests against Stephens's alternatives with those of Ajne, Watson, and Hermans‐Rasson's tests. Some of the new tests are the most powerful when the alternative has three or four modes. A heuristic justification of this feature is given. An application to the analysis of archaeological data is provided. The Canadian Journal of Statistics 38:80–96; 2010 © 2010 Statistical Society of Canada     

Testing for order among K populations: theory and examples

Testing for stochastic order among K populations is a common and important problem in statistical practice. It arises in the analysis of both planned experiments and observational studies. The authors develop a new nonparametric test for order among K populations that can accommodate any stochastic ordering. The test is based on a maximally selected chi‐bar‐square statistic. The authors find its limiting distribution and use simulations to derive critical values. Three important examples are used to illustrate the applicability of the general method. The authors find that the new tests outperform the existing methods in many practical cases. The Canadian Journal of Statistics 38: 97–115; 2010 © 2009 Statistical Society of Canada