理想点法综合评价学生数学成绩

应用多目标决策———理想点法 ,建立了一个综合评价学生数学成绩的数学模型     

高校档案信息有偿服务探析

信息时代人们对信息的需求越来越大,高校档案室里有很多有价值的信息,但高校档案信息的开发利用和管理远远跟不上时代发展的需要,档案信息的有偿服务成为档案管理的主要问题。笔者从档案信息有偿服务的必要性、档案信息有偿服务的现状、档案信息有偿服务的对策三方面对其进行探析。     

浅谈时政新闻出新意

时政新闻 ,即关于时事、政治方面的新闻报道。其突出特点是 :题材重大 ,参与者层次高 ,场面隆重、盛大、严肃。采、拍、编人员要把握住其特点 ,抓住采访工作的各个环节 ,充分发挥电视媒体的特长 ,即选择好的细节 ,合理地增加长镜头的运用 ,注重同期声的录制 ,时政新闻是可以出好新闻的     

从历史理解到价值建构--论文学史家的一般素质

任何一种原生态的文学史本体 ,唯有经过带有特定价值目标和取向原则的文学史主体 ,亦即文学史家的选择 ,并被置于某种思想规范和文学史构架之中 ,才能显示出自身的意义和价值。文学史研究首先要求文学史家们德识兼备 ,实事求是 ,纪史以实 ,同时还应具备跨学科、多层次的知识体系 ,只有这样才能为文学史建构一种具有开放性的研究途径和解释系统 ,进而推动文学史研究和著述范型的不断更新     

构建我国法务会计人才培养模式

随着我国市场经济的快速发展，经济纠纷、经济案件中所涉及的财务会计问题越来越多，迫切需要法务会计人员从会计和法律的专业角度进行调查、取证和鉴定，为法庭提供专家意见。但我国法务会计理论研究滞后、从业人员素质不高、法务会计人才严重匮乏，远远不能满足日益增长的法务会计需求。由于法务会计与财务会计有较大区别，因此，我国应加强法务会计建设，强化法务会计理论研究，并针对我国法务会计的现状，构建学历教育、在职教育和社会教育三位一体的法务会计人才培养模式，以培养具有中国特色的、多层次的、复合型法务会计人才。     

新时期高校档案管理和开发利用

档案管理是高校的重要基础工作。新时期高校档案工作具有数字化、信息化的特点。电子档案的应用,纸质档案与电子档案同步归档,最大限度实现资源共享等问题,提高了对高校档案管理和开发利用的要求。提高档案管理工作人员素质,适应新时期档案管理工作的发展,开发利用好档案资料,是亟待解决的重要问题。     

Estimation of the parameter of a dynamically selected population for two subclasses of the exponential family

We introduce the problem of estimation of the parameters of a dynamically selected population in an infinite sequence of random variables and provide its application in the statistical inference based on record values from a non stationary scheme. We develop unbiased estimation of the parameters of the dynamically selected population and evaluate the risk of the estimators. We provide comparisons with natural estimators and obtain asymptotic results. Finally, we illustrate the applicability of the results using real data.     

Objective Bayesian analysis based on upper record values from two-parameter Rayleigh distribution with partial information

In the life test, predicting higher failure times than the largest failure time of the observed is an important issue. Although the Rayleigh distribution is a suitable model for analyzing the lifetime of components that age rapidly over time because its failure rate function is an increasing linear function of time, the inference for a two-parameter Rayleigh distribution based on upper record values has not been addressed from the Bayesian perspective. This paper provides Bayesian analysis methods by proposing a noninformative prior distribution to analyze survival data, using a two-parameter Rayleigh distribution based on record values. In addition, we provide a pivotal quantity and an algorithm based on the pivotal quantity to predict the behavior of future survival records. We show that the proposed method is superior to the frequentist counterpart in terms of the mean-squared error and bias through Monte carlo simulations. For illustrative purposes, survival data on lung cancer patients are analyzed, and it is proved that the proposed model can be a good alternative when prior information is not given.     

文学视角下的唐代诏敕研究--由唐武德九年六月至九月诏书看李世民弑兄夺权及李渊被迫让位的真相

初唐诏敕文是初唐时期皇帝于施政过程中发布的“王言政令”,是具有最高权威的下行政治公文,涉及到了当时的政治、经济、军事、律法、外交、教育、文化等多方面的史实,和《大唐创业起居注》、《唐太宗实录》等史籍一道,都属于第一手资料,史料价值很高,可补正史之阙。即便是那些旨在宣扬皇德的诏敕文,如皇帝的即位、改元、祭天、封禅诏书,也为我们考察当时的史实提供了很多有价值的线索。本文主要从文史结合的角度出发,通过考察唐武德九年六月至九月诏书,来挖掘其中隐藏的李世民弑兄夺权及李渊被迫让位的真相。      

Statistical inference based on generalized Lindley record values

This paper addresses the problems of frequentist and Bayesian estimation for the unknown parameters of generalized Lindley distribution based on lower record values. We first derive the exact explicit expressions for the single and product moments of lower record values, and then use these results to compute the means, variances and covariance between two lower record values. We next obtain the maximum likelihood estimators and associated asymptotic confidence intervals. Furthermore, we obtain Bayes estimators under the assumption of gamma priors on both the shape and the scale parameters of the generalized Lindley distribution, and associated the highest posterior density interval estimates. The Bayesian estimation is studied with respect to both symmetric (squared error) and asymmetric (linear-exponential (LINEX)) loss functions. Finally, we compute Bayesian predictive estimates and predictive interval estimates for the future record values. To illustrate the findings, one real data set is analyzed, and Monte Carlo simulations are performed to compare the performances of the proposed methods of estimation and prediction.