Estimating the distribution function using k-tuple ranked set samples

The basic assumption underlying the concept of ranked set sampling is that actual measurement of units is expensive, whereas ranking is cheap. This may not be true in reality in certain cases where ranking may be moderately expensive. In such situations, based on total cost considerations, k-tuple ranked set sampling is known to be a viable alternative, where one selects k units (instead of one) from each ranked set. In this article, we consider estimation of the distribution function based on k-tuple ranked set samples when the cost of selecting and ranking units is not ignorable. We investigate estimation both in the balanced and unbalanced data case. Properties of the estimation procedure in the presence of ranking error are also investigated. Results of simulation studies as well as an application to a real data set are presented to illustrate some of the theoretical findings.     

Global Innovation Networks – Organizations and People

Innovation is increasingly the outcome of global networks that connect geographically dispersed knowledge centers. The international business (IB) literature has developed a sophisticated understanding of the multinational enterprise (MNE) as an organization generates value by integrating knowledge across national borders. We advance this literature by making three key arguments. First we highlight the three megatrends that shape the strategy of the modern MNE: the disaggregation of the value chain into ever narrower activities, the migration of value to knowledge-intensive intangibles and the rise of huge emerging markets like China and India, whose domestic firms can grow to enormous size before venturing abroad. Second, we trace these three megatrends to falling spatial transaction costs, enabled in the main, by digitalization. Third, we draw on earlier research on the generic forms of global linkages, arguing that the IB literature has limited itself to organizational pipelines, while paying relatively little attention to personal relationships. The latter are particularly important in the genesis of both entrepreneurship and radical innovation, but are particularly sensitive to the anti-globalization policies. An environment where technology continues to reduce spatial transaction costs, while policy raises them, strengthens large MNEs at the expense of innovative international new ventures.     

A nonparametric bayesian approach to analysis of drug dependence data

In this paper, a nonparametric Bayesian approach to the analysis of binary response data is considered. Using a Dirichlet process prior, and squared error loss, the Bayes estimators of response probabilities are obtained. Finally, the results obtained are employed to analyze the ARC 090 Trial data.     

Ensuring Parliamentary Gender Equality Through a New Zipper Method: An Application to Finland

Gender equality constitutes a crucial objective for a successful societal development. Although research has found that the differences are shrinking, parliamentary composition is not gender balanced in most areas of the world. Henceforth, recent literature has undertaken important efforts aimed at developing different initiatives to promote parity in democratic parliaments, especially through the use of quota systems. Prior initiatives, although leading to an improvement of gender parity, do not manage to ensure an optimal gender-egalitarian parliamentary composition. Thus, this paper presents a method to organize closed and blocked lists of candidates that guarantees the achievement of gender-balanced representation in parliamentary elections. Specifically, parity is sought globally, in each party and also in each electoral constituency. Furthermore, the method is applied to the elections held over the last two decades in Finland. Results reveal that parity in gender representation increases at global, party, and constituency levels throughout all the parliamentary elections in Finland, even approaching optimal numerical parity (i.e. 50 % for each gender) in most of the cases.     

Where Does it Begin? A Comparative Perspective on the Professional Preferences of First-year Social Work Students

Correspondence to Dr John Gal, Paul Baerwald School of Social Work, The Hebrew University, Mt Scopus, Jerusalem 91905, Israel. Summary The goal of this paper is to contribute to a better understandingof international social work by examining the professional preferencesof students at the beginning of the social work training processin the United States, Great Britain and Israel. The study, uponwhich the paper is based, examined the preferences of the studentswith regard client groups, social services, types of sectorsand of practices, and sought to identify the similarities andthe differences between these preferences in different countries.The findings indicate that the students from the United Statesand Israeli universities prefer to work with social groups andto be employed in services, that can be defined as "less stigmatic",while these trends were not identifiable in the case of theBritish students. They expressed a greater readiness to workwith more needy social groups and to find employment in thestate sector. By contrast, the students in all the universitiesstudied expressed a similar unwillingness to work the unemployed,the chronically ill and to find employment in old-aged homes.In addition, casework with individuals was the most preferredtype of social work practice. Clearly, the findings indicatethat the preferences of students in different countries reflectvariations in the nature of social work in each of the specificnational settings.     

Engaging young people in science education through socioscientific issues of biosecurity

ABSTRACT

The biosecurity system is extremely important to New Zealand because the economy is based largely on exporting products derived from primary industry practices. Recent developments in trade practices such as online trade have put the biosecurity system in New Zealand under further strain. In light of this, engaging young people to support biosecurity initiatives is crucial. A qualitative approach using the interpretive mode of inquiry was used to investigate the message young people got out of biosecurity educational material in the public. One hundred and seventy-one young people completed a questionnaire that consisted of Likert-scale type questions and open-ended questions that focused on getting young people’s understanding of biosecurity related educational material. The findings show that young people emotionally connected with the biosecurity educational material, but were unable to get the biosecurity message. Building prior knowledge about biosecurity through teaching and learning is recommended.     

Weighted bivariate logarithmic series distributions

In this paper, we are interested in the weighted distributions of a bivariate three parameter logarithmic series distribution studied by Kocherlakota and Kocherlakota (1990). The weighted versions of the model are derived with weight W(x,y) = x^[r] y^[s]. Explicit expressions for the probability mass function and probability generating functions are derived in the case r = s = l. The marginal and conditional distributions are derived in the general case. The maximum likelihood estimation of the parameters, in both two parameter and three parameter cases, is studied. A procedure for computer generation of bivariate data from a discrete distribution is described. This enables us to present two examples, in order to illustrate the methods developed, for finding the maximum likelihood estimates.