Optimized estimation for population mean using conventional and non-conventional measures under the joint influence of measurement error and non-response

Most of the research work in the theory of survey sampling only deals with the sampling errors under the assumptions: (i) there is a complete response and (ii) recorded information from individuals is correct but in practice it is not always true. Non-sampling errors like non-response and measurement errors (MEs) mostly creep into the survey and become more influential for estimators than sampling errors. Considering this practical situation of non-response and MEs jointly, we proposed an optimum class of estimators for population mean under simple random sampling using conventional and non-conventional measures. Bias and mean square error of the proposed estimators are derived up to first degree of approximation. Moreover, a simulation study is conducted to assess the performance of new estimators which proves that proposed estimators are more efficient than the traditional Hansen and Hurwitz estimator and other competing estimators.     

Effective International Tourism Management: A Strategic Approach

The objective of the study was to explore the relationship between international tourism indicators, crime rate, and vulnerability in a panel of 16 tourist-oriented countries over the period of 1990–2014. The study constructed a vulnerability index by using three socioeconomic factors, (1) poverty, (2) income inequality, and (3) unemployment rate. The results show that crime rate and vulnerability both decreases international tourism demand, which were mediated through inadequate education and health resources. Trade openness moderately supported the international tourism demand under the crime rate and vulnerability index. The results confirmed the crime Kuznets curve that turned into inverted U-shaped relationship between crime rate and per capita income, while this relationship was not confirmed for vulnerability index. The panel causality relationships confirmed the unidirectional causality between crime-vulnerability and international tourism. Growth-fueled tourism demand was analyzed under a crime and vulnerability index. The study concludes that international tourism is an implied solution to reduce human costs by involving tourists to in pleasure activities to at tourists’ destinations.     

The Impact of Organizational Change on Employee Turnover Intention: Does Stress Play a Mediating Role?

This study examined the relationship between change interventions and employee turnover intention to see if change interventions lead to increased employee turnover intention. Moreover, the mediating role of employee stress was tested. Data were collected from 162 respondents working at various administrative positions in a large public organization. The results indicate that employee turnover intention is positively correlated to human process, techno structural, human resources, and strategic interventions. Limitations and direction for future research are provided.     

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.     

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.