德国图书出版业的高等教育概况

德国图书出版业的高等教育主要由大学和高等专业学院负责。大学重点培养学生的独立分析问题和解决问题的能力 ,使其成为科研型专业人才。高等专业学院重点培养学生的动手能力和实践能力 ,使其成为符合职业要求的合格的实用型人才     

转型经济体制下创业团队的先前经验、无力感与适应能力

在资源依赖理论的基础上,从创业团队的先前经验出发,通过分析4家高科技创业企业的案例资料,考察了创业团队无力感与适应能力之间的关联性,并分析了创业团队的认知趋同性对该作用过程的影响机制,从而为新创企业提高在动态环境中的生存能力提供建议.研究表明,创业团队先前经验可以降低团队成员的无力感,从而提升团队的适应能力,且当创业团队认知趋同性越高时,无力感与适应能力的负向作用越强.     

从《红与黑》到《红黑》

通过比较丁玲1920年代参与编辑的《中央日报·红与黑》文艺副刊、《红黑》月刊的编辑宗旨、运作策略,探讨了商业背景下二者之间内在承继与嬗变过程及其原因。     

Publication Delay in Iranian Scholarly Journals

Scholarly periodicals in Iran are considered main information resources in the development of knowledge in scholarly areas. About 566 periodicals have publication licenses from the Commission of Scholarly Periodicals Evaluation of Ministry of Science, Research & Technology (MSRT), with sixty-eight published in English. This paper studies the publication delay of twenty-six Iranian scholarly periodicals which are published in Persian in Iran, not those Iranian journals which are published in English in Iran or out of the country. The peer review and scholarly publication processes in Iranian journals are quite lengthy and need improvement. There was no significant relationship between publication delay in Persian scholarly periodicals and their impact factor as presented by the Islamic World Science Citation Center (titled ISC). Finally, the authors offer some solutions for improving the publication system of Iranian scholarly journals and decreasing the publication interval of these journals.     

中国少数民族图书出版的问题及对策

改革开放以来,中国少数民族图书出版业得到了较大发展,图书出版规模和质量都有显著提高。但各民族间的出版状况非常不均衡,个别少数民族语言文字的出版已经濒临绝境,民族题材专业编辑和创意人员较少,民族出版机构的分布和业务范围存在局限,民族图书的深度和广度徘徊不前,这些都是亟待克服的宏观问题。从具体情况来看,也存在诸如少数民族图书读者流失严重、出版资金匮乏、受众市场狭小、数字出版跟进缓慢等突出问题。研究认为,针对少数民族的出版应该特事特办,不仅要在资金上给予继续扶持,还要在人才培养上给予重点关照,在民族院校加强出版专业教学和科研,鼓励开展出版合作交流活动等。     

引入信息成本的信息结构与股权融资成本

本文放松了Easley和O’Hara信息成本为0的假设,在他们的信息结构模型的理论框架下,构建了一个引入信息成本因素的信息结构模型。从信息结构的四个方面：信息成本、信息风险、信息披露的质量和先验信息质量研究了信息结构与股权融资成本之间的关系,得出了四个推论,从而拓展了信息结构模型。在进一步的实证研究中,选取市场微观结构理论中的逆向选择成本、知情交易概率-PIN分别作为信息成本和信息风险的衡量指标,研究发现：信息成本与股权融资成本之间呈倒‘U’型曲线关系;信息风险越高的股票股权融资成本越高;信息披露质量越高的公司,股权融资成本越低;先验信息质量越高,股权融资成本越低;从而对推论进行了有效验证。本文与Easley和O’Hara最大不同在于引入了信息成本因素,并且用实证方法对推论进行了验证,具有一定的开创性。     

Restricted most powerful Bayesian tests for linear models

Uniformly most powerful Bayesian tests (UMPBTs) are a new class of Bayesian tests in which null hypotheses are rejected if their Bayes factor exceeds a specified threshold. The alternative hypotheses in UMPBTs are defined to maximize the probability that the null hypothesis is rejected. Here, we generalize the notion of UMPBTs by restricting the class of alternative hypotheses over which this maximization is performed, resulting in restricted most powerful Bayesian tests (RMPBTs). We then derive RMPBTs for linear models by restricting alternative hypotheses to g priors. For linear models, the rejection regions of RMPBTs coincide with those of usual frequentist F‐tests, provided that the evidence thresholds for the RMPBTs are appropriately matched to the size of the classical tests. This correspondence supplies default Bayes factors for many common tests of linear hypotheses. We illustrate the use of RMPBTs for ANOVA tests and t‐tests and compare their performance in numerical studies.     

Bayesian inference for the randomly censored Weibull distribution

In this paper, we consider the Bayesian inference of the unknown parameters of the randomly censored Weibull distribution. A joint conjugate prior on the model parameters does not exist; we assume that the parameters have independent gamma priors. Since closed-form expressions for the Bayes estimators cannot be obtained, we use Lindley's approximation, importance sampling and Gibbs sampling techniques to obtain the approximate Bayes estimates and the corresponding credible intervals. A simulation study is performed to observe the behaviour of the proposed estimators. A real data analysis is presented for illustrative purposes.     

Bayesian composite quantile regression

One advantage of quantile regression, relative to the ordinary least-square (OLS) regression, is that the quantile regression estimates are more robust against outliers and non-normal errors in the response measurements. However, the relative efficiency of the quantile regression estimator with respect to the OLS estimator can be arbitrarily small. To overcome this problem, composite quantile regression methods have been proposed in the literature which are resistant to heavy-tailed errors or outliers in the response and at the same time are more efficient than the traditional single quantile-based quantile regression method. This paper studies the composite quantile regression from a Bayesian perspective. The advantage of the Bayesian hierarchical framework is that the weight of each component in the composite model can be treated as open parameter and automatically estimated through Markov chain Monte Carlo sampling procedure. Moreover, the lasso regularization can be naturally incorporated into the model to perform variable selection. The performance of the proposed method over the single quantile-based method was demonstrated via extensive simulations and real data analysis.     

四大至五大时期中共中央出版组织机构考察

中共四大至五大时期,党的出版组织机构几经变化,这些机构有些是作为独立机构存在的,有些是作为宣传部或组织部下属机构形式存在的,同时,出版组织机构的职能也有稍许的不同;但是,这种机构的变化相比四大以前的出版组织机构,是一个比较大的进步,这突出表现在其作为出版机构功能的强化上。