商标英汉翻译的优选论分析

商标英汉翻译的成败对于国外产品能否成功进军国内市场起着关键性的作用。本文在黄忠廉、胡远兵的术语全译策略系统的基础上,建立了商标翻译策略系统,并在优选论的理论框架中,探讨了商标翻译的各种策略的认知理据,提出了商标翻译的制约条件的等级排列。     

Multi-phase sampling under cost constraints

Multi-phase sampling (M-PhS) scheme is useful when the interest is in the estimation of the population mean of an expensive variable strictly connected with other cheaper (auxiliary) variables. The MSE is an accuracy measure of an estimator. Usually it decreases as the sample size increases. In practice the sample size cannot become arbitrarily large for possible cost constraints. From a practical point of view it would be useful to know the sample sizes which guarantee the best accuracy of the estimates for fixed costs. These “optimum” sample sizes can be, in some cases, computable but not admissible. In other cases, they can be neither admissible nor computable. The main goal of this paper is to propose a solution for both these situations. It will be clear that in both situations the solution is to consider a M-PhS scheme with one or more phases less.     

On the construction of optimal experimental designs: a penalty approach

Tn optimal experimental design theory there are well-known situations, in which additional constraints are implied to the design set. These constraints destroy in general the simplex structure of the set of feasible points of the design set. Thus the available iteration procedures for the unrestricted case are no longer applicable.

In this paper a penalty approach is suggested which transforms the restricted problem to the unrestricted case and allows the application of well-known algorithms such as the Fedorov-Wynn-type or the projected gradient procedure.     

Simple Computation of Maximum Likelihood Estimates in Latent Class Model with Equality and Constant Constraints

A simple computational method for estimation of parameters via a type of EM algorithm is proposed in restricted latent class analysis, where equality and constant constraints are considered. These constraints create difficulty in estimation. In order to simply and stably estimate parameters in restricted latent class analysis, a simple computational method using only first-order differentials is proposed, where the step-halving method is adopted. A simulation study shows that in almost all cases the new method gives parameter sequences monotonously increasing the Q-function in the EM algorithm. Analysis of real data is provided.     

ROBUST TESTS FOR THE SIGNIFICANCE OF ORTHANT RESTRICTED MEAN VECTOR

Mudholkar and Srivastava [1] Mudholkar, G. S. and Srivastava, D. K. A class of robust stepwise alternatives to Hotelling's T²tests. Submitted to the Journal of Applied Statistics 1999 [Google Scholar]adapted Mudholkar and Subbaiah's [2] Mudholkar, G. S. and Subbaiah, P. 1980. Testing significance of a mean vector–a possible alternative to Hotelling's T². Ann. Inst. Statist. Math., 32(A): 43–52.  [Google Scholar]modified stepwise procedure, using the trimmed means in place of the means and appropriate studentization, to construct robust tests for the significance of a mean vector. They concluded that the robust alternatives provide excellent type I error control, and a substantial gain in power over Hotelling's T ²test in case of heavy tailed populations without significant loss of power when the population is normal. In this paper we adapt the modified stepwise approach to construct simple tests for the significance of the orthant constrained mean vector of a p-variate normal population with unknown covariance matrix, and also for constructing robust tests without assuming normality. The simple normal theory tests have exact type I error, whereas the robust tests provide a reasonably type I error control and substantial power advantage over Perlman's [3] Perlman, M. D. 1969. One-sided testing problems in multivariate analysis. Annals of Mathematical Statistics, 40: 549–567. [Crossref] , [Google Scholar]likelihood ratio test.     

Accessibility of European museums to visitors with visual impairments

People who have visual impairments exceed 250 million persons worldwide and represent an important cohort of museum visitors. However, they experience many constraints to participation in daily life. Few studies analyse the accessibility of museums to visitors with visual impairments, and many are confined to a single museum and to a small set of strategies for improving accessibility. This article aims to identify a broad set of strategies to increase the accessibility of museums to visitors with visual impairments and analyse the accessibility of museums in four European cities. Conclusions and implications for policy-makers and museum managers, designed to promote the creation of inclusive museums, are presented.     

政府公共决策的规则限制

政府公共决策是一次利益再分配过程,由于＂经济人＂假设和政府的有限理性,政府公共决策权力时常被滥用,造成政府公共决策失误。制定完善的规则,规范政府公共决策权力,可以有效防止政府公共决策失误,使之解决民生之苦、反映民生之需、实现民生之乐。     

Combined multiple testing of multivariate survival times by censored empirical likelihood

In each study testing the survival experience of one or more populations, one must not only choose an appropriate class of tests, but further an appropriate weight function. As the optimal choice depends on the true shape of the hazard ratio, one is often not capable of getting the best results with respect to a specific dataset. For the univariate case several methods were proposed to conquer this problem. However, most of the interesting datasets contain multivariate observations nowadays. In this work we propose a multivariate version of a method based on multiple constrained censored empirical likelihood where the constraints are formulated as linear functionals of the cumulative hazard functions. By considering the conditional hazards, we take the correlation between the components into account with the goal of obtaining a test that exhibits a high power irrespective of the shape of the hazard ratio under the alternative hypothesis.     

一种考虑整数约束的环境效率评价MOISBMSE模型

传统的基于数据包络分析的环境效率评价常常忽略投入、期望产出和非期望产出为离散型变量的可能性,从而无法精确处理现实中存在的具有整数特征的指标数据,一直以来影响着评价结果的精确性.本文以混合导向的整数DEA为基础,对超效率SBM模型进行拓展,构建了一种能够同时兼顾整数约束和非期望产出指标数据的超效率SBM模型,并在实例中采用搜索算法,对该模型进行求解并通过Bootstrap方法对结果进行修正.将每一个最优整数点与被评价决策单元之间的距离进行比较,可以找出最短距离所对应的最优整数点,即为其帕累托改进方向.该模型将为环境效率评价提供了适用范围更广泛的测度方法.     

融资约束、代理冲突与中国上市公司非效率投资行为研究

本文以中国上市公司2000—2009年的实际数据,就我国上市公司融资约束、代理冲突与非效率投资行为三者之间的相互关系展开研究。结果显示,在不同的股权性质与公司规模特征的企业中,由控制权私有收益引发的投资行为扭曲具有不同的表现方式:公司非效率投资行为同时受到由控制权私有收益引起的融资约束和代理冲突的作用,这两种影响的相互作用共同决定了企业的投资行为状态;国有上市公司和非国有上市公司都拥有较高的投资—现金流敏感性,但表现在投资决策行为上却各不相同,国有上市公司整体上呈现出过度投资,而非国有上市公司则表现出投资不足;相对大规模公司而言,小规模公司可能呈现出更高的投资—现金流敏感性,并呈现出投资不足的非效率投资行为,而大规模公司则更可能表现出过度投资的非效率投资行为。