The measurement of capital utilisation rates

A strategy using spline function interpolation is developed f o r estimating capital utilisation rates . Cobb-Douglas, CES and translog functional forms are used in estimation. Tests for functional forms are conducted leading t o t h e s e l e c t i o n of the Cobb-Douglas form. Quarterly series of estimated utilisation rates and excess capacity measures are presented.     

Testing the Equality of Two Proportions for Combined Unilateral and Bilateral Data

In many medical comparative studies (e.g., comparison of two treatments in an otolaryngological study), subjects may produce either bilateral (e.g., responses from a pair of ears) or unilateral (response from only one ear) data. For bilateral cases, it is meaningful to assume that the information between the two ears from the same subject are generally highly correlated. In this article, we would like to test the equality of the successful cure rates between two treatments with the presence of combined unilateral and bilateral data. Based on the dependence and independence models, we study ten test statistics which utilize both the unilateral and bilateral data. The performance of these statistics will be evaluated with respect to their empirical Type I error rates and powers under different configurations. We find that both Rosner's and Wald-type statistics based on the dependence model and constrained maximum likelihood estimates (under the null hypothesis) perform satisfactorily for small to large samples and are hence recommended. We illustrate our methodologies with a real data set from an otolaryngology study.     

低信噪比下基于Keystone变换的多目标检测

在脉冲多普勒雷达里,针对低信噪比的多目标数据,该文提出了一种基于Keystone变换的运动补偿方案。利用Keystone变换校正由径向速度引起的线性距离走动,通过对所有脉冲的相干积累来提高信噪比。仿真实验结果表明,基于Keystone变换方法的性能优于传统相参积累的方法。     

LDPC编码自适应加载MIMO-OFDM系统性能分析

介绍了LDPC校验阵的构造及编译码算法,采用了随机法构造LDPC校验阵,编码基于高斯消去直接进行译码采用无穷阶量化时的置信传播算法;讨论了OFDM自适应加载技术与多输入多输出技术,结合自适应比特功率分配算法与基于多载波调制的比特分配方案实现了该加载分配技术;给出了LDPC编码的自适应加载MIMO-OFDM系统的模型。经仿真分析得出,二元域上非规则LDPC编码的系统性能优于多元域上的,自适应加载MIMO-OFDM技术大大提高了系统传输速率,有效增强了系统抗衰落性。     

A Parallel between Regret Theory and Outranking Methods for Multicriteria Decision Making Under Imprecise Information

Incorporation of the behavioral issues of the decision maker (DM) is among the aspects that each Multicriteria Decision Making (MCDM) method implicitly or explicitly takes into account. As postulated by regret theory, the feelings of regret and rejoice are among the behavioral issues associated with the entire decision making process. Within the context of MCDM, the DM may feel regret, when the chosen alternative is compared with another one having at least one better criterion value. PROMETHEE II is a widely known MCDM method that makes no explicit incorporation of regret attitude of the DM. In this paper, we elaborate on the applicability of regret theory to MCDM context. In particular, we investigate the findings of regret theory and explore the parallel between regret theory and PROMETHEE II method. Relying on the concepts of regret theory, we demonstrate how a decision that is made using a PROMETHEE II based outranking method conforms to the regret attitude of the DM.     

我国企业境外直接投资的多元目标及政策导向

在全球经济全球化和一体化的背景下 ,中国企业真正融入到激烈的全球竞争环境中。为了应对国际竞争的新形势 ,越来越多的企业开始走出国门。文章就此分析了我国企业开展境外直接投资的多元化的现状及其多元化的目标取向 ,并进一步探讨了相应的政策导向。     

大学英语作文题库内容效度方面存在的问题与建议

以测试理论和《大学英语教学大纲》为依据,以教学主体和教材为研究对象,分析宁夏大学《大学英语》三级成就测试作文题库,指出其在内容效度方面存在的三方面问题:(1)考试目的不明确;(2)命题不规范;(3)写作内容与形式不具代表性。提出提高考试命题人员的测试理论知识水平、制订考试规范和组建测试小组等改进建议,进一步建立科学、合理和规范的大学英语测试体系。     

上犹社溪方言实词的兼类与活用

当语言中的一个新词诞生以后 ,只要表示与之相关的动作变化或状态的动词或形容词没有产生 ,就很可能直接用这个词来表示这种相关的动作变化或状态。因此 ,词的兼类是各种语言或方言、或各个不同时期的同一语言中常见的现象。在语言的发展史上 ,尽可能减少词的兼类现象 ,特别是通过形态变化等手段把兼类的词分化为不同的词 ,还有些词存在活用现象 ,显得很有地方特色。从此角度说 ,客家方言保留着较多的古语痕迹。     

Fast robust feature screening for ultrahigh-dimensional varying coefficient models

In this paper, we propose a new partial correlation, the so-called composite quantile partial correlation, to measure the relationship of two variables given other variables. We further use this correlation to screen variables in ultrahigh-dimensional varying coefficient models. Our proposed method is fast and robust against outliers and can be efficiently employed in both single index variable and multiple index variable varying coefficient models. Numerical results indicate the preference of our proposed method.     

Semi-parametric segmentation of multiple series using a DP-Lasso strategy

We consider a semi-parametric approach to perform the joint segmentation of multiple series sharing a common functional part. We propose an iterative procedure based on Dynamic Programming for the segmentation part and Lasso estimators for the functional part. Our Lasso procedure, based on the dictionary approach, allows us to both estimate smooth functions and functions with local irregularity, which permits more flexibility than previous proposed methods. This yields to a better estimation of the functional part and improvements in the segmentation. The performance of our method is assessed using simulated data and real data from agriculture and geodetic studies. Our estimation procedure results to be a reliable tool to detect changes and to obtain an interpretable estimation of the functional part of the model in terms of known functions.