宁夏新农村信息化建设的基本经验与存在的问题

2007年9月,国家信息化工作办公室将宁夏正式列为全国第一个国家级社会主义新农村信息化工作省域试点,宁夏的农村信息化建设也被列为自治区的”民生工程”;2008年9月,宁夏又被列为全国第一个社会主义新农村信息化省域示范点。但是,宁夏的农村信息化同时也存在着一些问题。本文从研究宁夏新农村信息化的经验入手,深入系统地分析农村信息化发展中存在的问题,对于不断完善宁夏农村信息化工作、推进宁夏新农村建设具有重要现实意义。     

信息时代图书馆服务机制的创新

信息时代给图书馆带来了机遇和挑战。本文借用创新理论,从服务观念、服务手段、服务内容、服务模式和服务职能等方面阐述了在信息时代转变图书馆服务机制应采取的措施。     

利用信息技术 推进高校党建工作

随着高校党建工作出现的新情况、新问题,传统的工作方式已不能适应高校快速发展的需要,高校应充分发挥信息技术的作用,创新工作途径,改进工作方式,不断推进党建工作.文章通过分析高校党建管理信息化的可行性,提出高校党建数字化管理的具体建议.     

新会计准则下会计监督体系的改革与创新

实践证明,新会计准则的实施在总体上是顺利的.但与旧准则体系相比,新会计准则尤其是涉及公允价值引入的多项会计准则的内容变化很大,且操作性较差,给企业和会计人员提供了更多的"机会".这种变化对目前会计监督体系提出了严峻挑战.为此,本文提出了更新监督理念、优化会计监督模式、转变监督重点、创新监督方式、整合人力资源等建议.     

试谈分类阅读中的信息提取

阅读理解过程是作者、语言信息和读者等几方面相互作用的结果.如果从作者写作的思维模式入手,进行分类阅读,就能较快地提取有关信息,从而提高阅读理解水平.     

Origins of the epithet ‘government by public relations’: Revisiting Bruce Catton's War Lords of Washington, 1948

While it might make public relations professionals and faculty cringe, the term ‘government by public relations’ is a negative one, implying that governmental decision-making is guided by appearances rather than on the merits. This tag line is a relatively common American put-down of politicians and senior civil servants. This article examines the origins of the term, locating its usage in the WWII memoirs of Bruce Catton, then a government public information officer and later a renowned popular historian of the American Civil War. Catton's use of the term, his 1948 book War Lords of Washington, and his philosophy of government public information are examined in more detail to give context to the phrase ‘government by public relations.’     

The exponentiated reduced Kies distribution: Properties and applications

Here we consider an exponentiated version of the reduced Kies distribution and discuss some of its properties. The parameters of the distribution are estimated by the method of maximum likelihood and illustrated with the help of certain real-life data sets. Asymptotic behavior of the maximum likelihood estimators of the parameters of the distribution is also studied by using certain simulated data sets.     

Goodness-of-fit tests based on Verma Kullback–Leibler information

In this article, a new consistent estimator of Veram’s entropy is introduced. We establish the entropy test based on the new information namely Verma Kullback–Leibler discrimination methodology. The results are used to introduce goodness-of-fit tests for normal and exponential distributions. The root of mean square errors, critical values, and powers for some alternatives are obtained by simulation. The proposed test is compared with other tests.     

Interval estimation: An information theoretic approach

ABSTRACT

We develop here an alternative information theoretic method of inference of problems in which all of the observed information is in terms of intervals. We focus on the unconditional case in which the observed information is in terms the minimal and maximal values at each period. Given interval data, we infer the joint and marginal distributions of the interval variable and its range. Our inferential procedure is based on entropy maximization subject to multidimensional moment conditions and normalization in which the entropy is defined over discretized intervals. The discretization is based on theory or empirically observed quantities. The number of estimated parameters is independent of the discretization so the level of discretization does not change the fundamental level of complexity of our model. As an example, we apply our method to study the weather pattern for Los Angeles and New York City across the last century.     

The performance of model averaged tail area confidence intervals

We investigate the exact coverage and expected length properties of the model averaged tail area (MATA) confidence interval proposed by Turek and Fletcher, CSDA, 2012, in the context of two nested, normal linear regression models. The simpler model is obtained by applying a single linear constraint on the regression parameter vector of the full model. For given length of response vector and nominal coverage of the MATA confidence interval, we consider all possible models of this type and all possible true parameter values, together with a wide class of design matrices and parameters of interest. Our results show that, while not ideal, MATA confidence intervals perform surprisingly well in our regression scenario, provided that we use the minimum weight within the class of weights that we consider on the simpler model.