关于21世纪阿拉伯与中国的合作

21世纪,阿拉伯与中国合作的话题,具有非常重要的意义,因为中国的实力不断增长,中国的政治、经济作用也不断扩大.中国强调,21世纪中国人民的三大任务是继续加快现代化进程,完成祖国统一大业,维护世界和平以促进共同发展.这将使她在减轻美国霸权、军事和经济重压以及单边主义等方面发挥特殊作用.阿拉伯地区是中国周边战略的延伸,从公元8世纪伊斯兰鼎盛时期起,就与中国相邻,伊斯兰世界的边境还与中国的西部地区接壤.     

Local Influence Diagnostics in the Modified Ridge Regression

Calculations of local influence curvatures have been well developed when the ordinary least squares method is applied. In this article, we discuss the assessment of local influence under the modified ridge regression. Using a pseudo-likelihood function, we express the normal curvatures of local influence for three useful perturbation schemes in interpretable forms. Two illustrative examples are analyzed by the methodology developed in the article.     

Assessing Influence on the Liu Estimates in Linear Regression Models

The Liu estimator has been developed as an alternative to the ordinary least squares estimator in the presence of collinearity among the elements of regressors in linear regression models. We present the DFFITS and different versions of the Cook distance analogous to the ones given for the ordinary linear regression models of each individual observation on the Liu estimates. We suggest a version of the Cook distance based on one-step approximation. The mean shift outlier model for the Liu regression has also been investigated. Moreover, using the Sherman-Morrison-Woodbury theorem, we find approximate versions of the DFFITS and the Cook distance. The proposed diagnostics are evaluated on two data sets and yield promising results.     

A new bivariate exponential distribution for modeling moderately negative dependence

This paper introduces a new bivariate exponential distribution, called the Bivariate Affine-Linear Exponential distribution, to model moderately negative dependent data. The construction and characteristics of the proposed bivariate distribution are presented along with estimation procedures for the model parameters based on maximum likelihood and objective Bayesian analysis. We derive Jeffreys prior and discuss its frequentist properties based on a simulation study and MCMC sampling techniques. A real data set of mercury concentration in largemouth bass from Florida lakes is used to illustrate the methodology.     

Minimal circular balanced repeated measurement designs in unequal period sizes

Abstract

Repeated measurement designs (RMDs) are widely used in medicine, pharmacology, animal sciences and psychology. In these fields, there are several situations where these designs should be used in periods of different sizes. With the use of RMD, residual effects or carry over effects may arise and balanced RMDs are solution to this problem. In this article, therefore, some infinite series are developed through method of cyclic shifts to obtain circular balanced repeated measurements designs in periods of two different sizes.     

Multiple dependent state repetitive sampling plans based on one-sided process capability indices

In this research, multiple dependent state and repetitive group sampling are used to design a variable sampling plan based on one-sided process capability indices, which consider the quality of the current lot as well as the quality of the preceding lots. The sample size and critical values of the proposed plan are determined by minimizing the average sample number while satisfying the producer's risk and consumer's risk at corresponding quality levels. In addition, comparisons are made with the existing sampling plans [Pearn and Wu (2006a Pearn, W. L., and C. W. Wu. 2006a. Critical acceptance values and sample sizes of a variables sampling plan for very low fraction of defectives. Omega: International Journal of Management Science 34 (1):90–101.[Crossref], [Web of Science ®] , [Google Scholar]), Yen et al. (2015 Yen, C. H., C. H. Chang, and M. Aslam. 2015. Repetitive variable acceptance sampling plan for one-sided specification. Journal of Statistical Computation and Simulation 85 (6):1102–16.[Taylor &; Francis Online], [Web of Science ®] , [Google Scholar])] in terms of average sample number and operating characteristic curve. Finally, an example is provided to illustrate the proposed plan.     

Issues in intervention with battered women in collectivist societies

Over the past three decades, several models for individual and group intervention with battered women have been developed. The common assumption underlying all of these models is that violence and abuse are never appropriate in an intimate relationship, and that battered women have a basic right to safety, which is not negotiable. Because almost all of those models were developed in the individualistic contexts of Western societies, some questions and concerns have been raised as to their suitability for intervention with battered women in collectivist contexts. In this article, we explore the characteristics of collectivist societies based on the conceptual framework of Triandis, Brislin, and Hui, (1988) which focuses on five dimensions: the self, attitudes, values, activities, and behaviors. Furthermore, we explore each of those dimensions and their relevance to various aspects of wife abuse in collectivist societies, such as the way that battered women cope with violence against them, and possibilities for professional intervention.     

Extending the Bradley–Terry model for paired comparisons to accommodate weights

In the method of paired comparisons (PCs), treatments are compared on the basis of qualitative characteristics they possess, in the light of their sensory evaluations made by judges. However, there may emerge the situations where in addition to qualitative merits/worths, judges may assign quantitative weights to reflect/specify the relative importance of the treatments. In this study, an attempt is made to reconcile the qualitative and the quantitative PCs through assigning quantitative weights to treatments having qualitative merits using/extending the Bradley–Terry (BT) model. Behaviors of the existing BT model and the proposed weighted BT model are studied through the test of goodness-of-fit. Experimental and simulated data sets are used for illustration.     

Savings–Investment Correlation and Capital Outflow: The Case of Pakistan

This study explores the savings–investment relationship in the context of financial liberalization and flexible exchange rate regime in Pakistan. Ng–Perron test is employed to examine the order of integration of the variables used in the model. For long-run analysis, ARDL bounds testing approach is used and short-run dynamics are captured from error correction model (ECM). Time series data are utilized covering the period 1976–2006. Empirical findings indicate that in the case of Pakistan, there is a weak correlation between savings and investment. The study suggests that in the presence of inadequate capital mobility within the country, domestic investors have financed investment projects from international market. Furthermore, devaluation and inflation have stimulated investment activities in the country and significantly contributed in closing the gap between domestic savings and investment.     

On the identification of extreme outliers and dragon-kings mechanisms in the upper tail of income distribution

The presence of extreme outliers in the upper tail data of income distribution affects the Pareto tail modeling. A simulation study is carried out to compare the performance of three types of boxplot in the detection of extreme outliers for Pareto data, including standard boxplot, adjusted boxplot and generalized boxplot. It is found that the generalized boxplot is the best method for determining extreme outliers for Pareto distributed data. For the application, the generalized boxplot is utilized for determining the exreme outliers in the upper tail of Malaysian income distribution. In addition, for this data set, the confidence interval method is applied for examining the presence of dragon-kings, extreme outliers which are beyond the Pareto or power-laws distribution.