英诗汉译的最佳关联性解释——以《白朗宁夫人爱情十四行诗集》汉译本为例

诗歌翻译如果要取得最佳语境效果必须使得原作和译文达到最佳关联.通过介绍关联理论及其与翻译的关系,阐明了该理论中的直接翻译和间接翻译特别是"弱势暗含"对诗歌翻译所起的作用.在此基础上,选取《白朗宁夫人爱情十四行诗集》的汉译本为语料,分析探讨该译本中的特殊语言结构和表现手法,结合关联理论进行阐释,证明了关联理论对于英诗汉译这一特殊的语言交际形式具有很好的解释和指导作用.     

基于解释结构模型的企业汇率风险应急机制构建研究

由于中国大多数企业缺少对汇率风险的管理,加之汇率波动幅度及波动频率的不确定性增加,使暴露于汇率风险中的企业数量和风险头寸增加.因此,建立科学合理的企业汇率风险应急机制具有现实意义.文章运用解释结构模型(ISM)对构建企业汇率风险应急机制及其影响因素进行了分析研究.通过构建模型,明确了建立企业汇率风险应急机制将受5个等级的16个因素影响,其中2个因素为直接影响因素,5个因素为基础性影响因素.文章试图为企业汇率风险应急机制构建提供理论依据,为企业汇率风险应急管理实践提供有效路径.     

事业单位职工延迟退休意愿及其影响因素的实证分析

为研究事业单位职工在不同情况下对延迟退休的态度的变化,在相关理论基础和初步调查的基础上,筛选出了对职工延迟退休意愿产生影响的因素及其影响的程度和方式。以政策实施的对象为研究目标,立足于个体意愿,以788名事业单位职工的调查数据为基础,采用二元Logistic回归模型,针对个体特征、经济因素、工作因素与制度因素对职工延迟退休意愿的影响进行了研究。结果表明,最适退休年龄、工龄、升职空间和继续工作意愿与职工延迟退休意愿存在显著正相关关系;退休后社会保障外收入则与职工延迟退休意愿存在显著负相关关系。     

两种目标制下的我国最优货币政策研究

文章构造了一个开放经济下的混合型AD‐AS模型,并根据我国2003～2013年的统计数据对其进行了估计,分别求出了在通货膨胀目标制和利率平滑目标制下事先承诺型的最优货币政策规则。在没有扰动的情况下,我国的宏观经济系统在这两种最优货币政策下都是渐近稳定的。通过两种目标制下最优货币政策的比较,发现在控制产出缺口方面,通货膨胀目标制更有效,在利率的操作性方面,利率平滑目标制更合理。     

LPM模型下的利率政策及其作用

本文探讨在不完全信息条件下,央行以短期流动性效益目标,利用利率政策工具在银行间拆借市场、货币市场以及资本市场上的非对称性传导表现为基础,并以此为逻辑线索线进行分析,指出利率主义的深化、利率政策内生性需求下,利率政策效应在银行间拆借市场、货币市场与资本市场中的链接,因不同的产品时间反应不一致从而使得利率政策在不同的市场产生不同的有效性、内生性变化效果,继而阐明了有限参与市场条件下利率传导的非对称性有效性效应,说明国民经济发展中利率政策调控需要考虑定向调控利率的问题.对央行的定向调控等利率政策的制定与调整提出了合理化建议.     

Optimal Treatment Schedule in Insect Pest Control in Viticulture

A model for the control of the European grapevine moth Lobesia botrana includes two control methods: insecticides and mating disruption. It yields the combination and schedule of application that minimize cost and losses due to the pest. A simulation is presented for an experimental situation.     

碳排放约束下的企业最优减排投资行为

为兑现“十二五”和2020 年的碳减排目标,我国政府于2013 年年底在“七省市”试点启动碳交易市场,并在2015 年推广至全国． 根据欧盟的经验,在碳交易市场运行之初,政府需要设定一个碳排放许可总量,并把其分配给参与减排的企业． 为实现在减排企业间合理分配碳排放许可量,目前在政界热议的配置方式包括免费、拍卖、免费拍卖相结合、单边交易模式和双边交易模式五种方案． 为探讨这五种方案能否实现“企业以最小的减排投资成本实现既定的减排目标”这一问题,本文从企业微观生产过程出发,剖析企业减排路径及其减排投资渠道,建立企业减排投资成本最小化模型,推导各投资渠道的最优投资水平,进而分别讨论免费、拍卖、免费拍卖相结合、单边和双边交易模式配置碳排放配额对最优减排投资的实施情况,根据所得结论,提出这五种配置方式在实施过程中需要重点考虑的因素,为相关政策的制定和实施提供一定的科学依据和参考．     

Implementation of maximin efficient designs in dose‐finding studies

This paper considers the maximin approach for designing clinical studies. A maximin efficient design maximizes the smallest efficiency when compared with a standard design, as the parameters vary in a specified subset of the parameter space. To specify this subset of parameters in a real situation, a four‐step procedure using elicitation based on expert opinions is proposed. Further, we describe why and how we extend the initially chosen subset of parameters to a much larger set in our procedure. By this procedure, the maximin approach becomes feasible for dose‐finding studies. Maximin efficient designs have shown to be numerically difficult to construct. However, a new algorithm, the H‐algorithm, considerably simplifies the construction of these designs. We exemplify the maximin efficient approach by considering a sigmoid Emax model describing a dose–response relationship and compare inferential precision with that obtained when using a uniform design. The design obtained is shown to be at least 15% more efficient than the uniform design. © 2014 The Authors. Pharmaceutical Statistics Published by John Wiley & Sons Ltd.     

Stochastic comparisons of sample spacings in single- and multiple-outlier exponential models

This article studies some ordering results for the sample spacings arising from the single- and multiple-outlier exponential models. In the single-outlier exponential models, it is shown that the weak majorization order between the two hazard rate vectors implies the hazard rate order as well as the dispersive order between the corresponding sample spacings. We also extend this result from the single-outlier model to the multiple-outlier model for the special case of the second sample spacing. Furthermore, we obtain some necessary and sufficient conditions such that, on the one hand, the hazard rate, dispersive and usual stochastic orders, and on the other hand, the likelihood ratio and reversed hazard rate orders of the second sample spacings from two independent heterogeneous exponential random variables are equivalent.     

Variables acceptance reliability sampling plan for repairable items

Traditionally, acceptance reliability sampling plans have been developed for non-repairable items. However, the functions required for items become more and more complex and, accordingly, the items are composed of several components and tend to be repairable. In this paper, we consider variables acceptance reliability sampling plan for repairable items. We develop a variables acceptance sampling plan based on the failure and repair data observed during the testing period. It is shown that the developed sampling plan improves the reliability characteristic of the population and that the lifetimes of items before and after the reliability sampling test are stochastically ordered.