基于序化机理的稳健型股票价值投资决策——一个研究框架

面对资本市场风险加剧的现实背景,以"公司经营业绩与股票市场业绩一致趋优"为稳健型投资的核心要素,立足于区间数据表示、会计信息度量两个关键要素,开展稳健型股票价值投资的多准则决策建模研究。面向稳健型投资决策目标,提出满足"稳健性""局部性""全局性"3个特性的序化机理,围绕关键特征选择、特征评价、全序化建模的主体脉络建立系统性多准则决策方法,进而构建"稳健型股票价值投资决策"的研究框架。     

安徽省智慧农业发展战略与发展机制研究

安徽省智慧农业的发展处于初级阶段,目前主要还是示范应用.通过文献分析法与实地调查法,发现安徽省智慧农业发展中存在规划协调不完备、技术不成熟、成本制约发展、专业技术人才数量较少等问题.为了加快安徽省智慧农业的发展步伐,可选择政府与市场双轮驱动的战略框架.一方面,政府推动智慧农业发展.另一方面,市场拉动智慧农业发展.还应构建安徽省智慧农业发展的政、产、研协同系统,着力培育安徽省智慧农业发展机制,可从规划协调机制、技术体系推进机制、政策扶持机制和人才培养机制四个方面合力推进.     

国民经济动员链潜力释放机理研究

国民经济动员链是动员任务的载体,也是国民经济动员潜力释放的渠道与途径。国民经济动员链系统的运作机理表现为资源流动性、各参与部门间的相互链接关系,所以国民经济动员潜力建设应注重于资源间的依赖性与配套性,着重解决短板问题。同时应强化各参与者之间的合作机制建设、适应性和应变能力建设,着力提高国民经济动员链的系统效能。     

不礼貌言语转换机制在大学英语教学中的应用

从Helen Spencer-Oatey 的和谐管理模式这一动态理论视角出发,考察说话者基于对言语互动中的交际需求、面子的敏 感性和行为期待的动态评价,对言语形式在礼貌程度上进行转换,从而获知不礼貌言语的转换机制。这一言语转换机制应用 于大学英语视听说课的教学,有助于增强学生的语用意识,引导学生有意识地将直觉产生的言语转换为意义相等但更为礼貌 的形式,顺利地完成日常交际活动。     

建立与完善人才评价机制

人才评价对于实际工作具有配置、导向、激励和约束四重作用,是实现管理功能的动力所在。面对现阶段制约人才评价的诸多问题,为充分发挥管理的功能,需要对人才评价机制进行完善。在界定人才评价机制优劣标准的基础上,建立人才评价机制模型,以展示人才评价机制的结构、内部联系及运行机理,实现组织和人才的自加压、自运行和自寻优。     

我国环境多元治理模式法律保障机制探究

未清晰地认识和定位政府、企业、社会公众三者的关系,未处理好三者的分工与衔接,是造成我国环境多元治理模式难以落实的关键问题。究其主要原因在于过分依赖传统政府管制模式的路径,以致政府在环境治理中起主导作用而轻视企业、社会公众作为治理主体的力量,导致其他治理主体参与环境治理法律机制的缺失。比较分析三者存在的障碍,提出落实环境多元治理模式法律保障的建议,从而构建起三者相互协作、共同治理环境的新局面。     

Comparison of Interval Estimators of Pr(X < Y) in the Two-parameter Exponential Distribution

We consider confidence intervals for the stress–strength reliability Pr(X< Y) in the two-parameter exponential distribution. We have derived the Bayesian highest posterior density interval using non-informative prior distributions. We have compared its performance with the intervals based on the generalized pivot variable intervals in terms of their coverage probabilities and expected lengths. Our simulation study shows that the Bayesian interval performs better according to the criteria used, especially when the sample sizes are very small. An example is given.     

Mixed-effects Models with Skewed Distributions for Time-varying Decay Rate in HIV Dynamics

After initiation of treatment, HIV viral load has multiphasic changes, which indicates that the viral decay rate is a time-varying process. Mixed-effects models with different time-varying decay rate functions have been proposed in literature. However, there are two unresolved critical issues: (i) it is not clear which model is more appropriate for practical use, and (ii) the model random errors are commonly assumed to follow a normal distribution, which may be unrealistic and can obscure important features of within- and among-subject variations. Because asymmetry of HIV viral load data is still noticeable even after transformation, it is important to use a more general distribution family that enables the unrealistic normal assumption to be relaxed. We developed skew-elliptical (SE) Bayesian mixed-effects models by considering the model random errors to have an SE distribution. We compared the performance among five SE models that have different time-varying decay rate functions. For each model, we also contrasted the performance under different model random error assumptions such as normal, Student-t, skew-normal, or skew-t distribution. Two AIDS clinical trial datasets were used to illustrate the proposed models and methods. The results indicate that the model with a time-varying viral decay rate that has two exponential components is preferred. Among the four distribution assumptions, the skew-t and skew-normal models provided better fitting to the data than normal or Student-t model, suggesting that it is important to assume a model with a skewed distribution in order to achieve reasonable results when the data exhibit skewness.     

Exponentiality Test Based on the Progressive Type II Censoring via Cumulative Entropy

In this article, we use cumulative residual Kullback-Leibler information (CRKL) and cumulative Kullback-Leibler information (CKL) to construct two goodness-of-fit test statistics for testing exponentiality with progressively Type-II censored data. The power of the proposed tests are compared with the power of goodness-of-fit test for exponentiality introduced by Balakrishnan et al. (2007 Balakrishnan, N., Habibi Rad, A., Arghami, N.R. (2007). Testing exponentiality based on Kullback-Leibler information with progressively type-II censored data. IEEE Transactions on Reliability 56(2):301–307.[Crossref], [Web of Science ®] , [Google Scholar]). We show that when the hazard function of the alternative is monotone decreasing, the test based on CRKL has higher power and when the hazard function of the alternative is non-monotone, the test based on CKL has higher power. But, when it is monotone increasing the power difference between test based on CKL and their proposed test is not so remarkable. The use of the proposed tests is shown in an illustrative example.     

A New Quantile Function with Applications to Reliability Analysis

In this article, we propose a new class of distributions defined by a quantile function, which nests several distributions as its members. The quantile function proposed here is the sum of the quantile functions of the generalized Pareto and Weibull distributions. Various distributional properties and reliability characteristics of the class are discussed. The estimation of the parameters of the model using L-moments is studied. Finally, we apply the model to a real life dataset.