THE MINIMUM OF HIGHER ORDER GAPS

A large body of theory exists for statistics based on gaps or spacings. A natural generalization to gaps of higher order leads to statistics for testing uniformity which have higher power. In particular the null and alternative distributions of the minimum gap statistic are derived and the power of the test is seen to increase with m.     

Internal trade barriers are coming down in the EEC

There are many current examples of countries and companies infringing the free movement of goods within the European Economic Community. The rules governing this are clearly set out in Articles 30 to 36 of the Treaty of Rome and are rigorously applied by the Court of Justice of the European Communities.Noel Byrne gives examples from trade in erotica, water pipes, liqueurs, English language teaching materials and publicity leaflets to illustrate how transgressors can be dealt with. Intellectual property is an especially important field where protection can be used unjustifiably, and European Commission Directives are being introduced to liberalize public procurement.     

Situation and Social Network in Cities*

Un problème significatif dans l'élaboration et l'utilisation de réseaux sociaux en recherche urbaine se rapporte à la spécification du contenu des relations de réseau. Dans une étude sur le terrain chez les Danois américains de la Californie, certains facteurs furent de grande utilité dans la définition des liens de réseau. Ce sont: le cadre institutionnel à l'intérieur duquel s'élaborent les liens de réseau; les situations qui leur permettent d'être opérants et la nature affective de ces liens de réseau. En plus de leur valeur opératoire, ces facteurs permettent au chercheur d'évaluer la qualité et la diversité de la vie urbaine. A significant problem in the construction and use of social networks in urban research is that of specifying the content of network relationships. In fieldwork among Danish-Americans in California, the institutional framework in which network ties were recruited, the situations in which such ties were activated, and the affective nature of network links were useful in defining network bonds. In addition to their operational utility, these factors allow the investigator to assess the quality and diversity of urban life.     

Predictors of Prejudice Against Lesbians and Gay Men in Jamaica

Jamaica has acquired an international reputation for strong antigay prejudice, incidents of antigay violence, and outspoken, antigay public figures. In recent years, national and international gay rights groups have attempted to improve this situation. However, these efforts have not been based on an empirical analysis of the factors underlying Jamaican antigay bias, which is essential for developing effective prejudice-reducing strategies. Using data collected in two large-scale national surveys in 2011 and 2012 (N ₂₀₁₁ = 997, N ₂₀₁₂ = 945), we investigated predictors of Jamaican antigay prejudice, including age, gender, religious affiliation, education, income, and a preference for dancehall music. We also examined changes in reported antigay bias between 2011 and 2012 after accounting for other predictors. All proposed variables predicted some aspect of antigay prejudice, though sometimes in unexpected ways. Male gender emerged as a particularly important predictor. We discuss the strengths and limitations of our design and the implications of our findings for prejudice-reduction strategies in Jamaica.     

Bidirectional, unidirectional, and nonviolence: a comparison of the predictors among partnered young adults

In order to more fully understand the context and impact of intimate partner violence (IPV), it is important to make distinctions between different types of relationship aggression. As such, the current study longitudinally examines the differential effects of childhood, adolescent, and demographic factors on three different partner violence groups: those who experience bidirectional IPV, those who experience unidirectional IPV, and those who do not experience either form of IPV. Multinomial logistic regression results reveal that depressive symptoms and lower partner education predict bidirectional when compared to unidirectional IPV and nonviolence. In contrast, other risk factors such as illicit drug use are found to be predictors of unidirectional violence only, which reveals that the correlates of violence vary depending upon the type of IPV examined.     

Likes,dislikes, supports and barriers: the experience of students with disabilities in university in Ireland

There are more students with disabilities going to college than ever before. It is important that colleges understand the experiences of students with disabilities when in university. This research project was carried out by 12 students with intellectual disabilities who are enrolled in an Irish university, under the guidance of their lecturers. The project looked at four research questions: (1) what do we like about going to college; (2) what do we dislike about going to college; (3) what supports do students with disabilities experience to participation in college; and (4) what barriers do students with disabilities experience to participation in college? The results show many interesting findings about what students with disabilities experience in college and this information can be used to help colleges better support students with disabilities.     

Assessing Service Level Targets in Production and Inventory Planning*

In production and stock planning, the relationship between customer service, defined as the ability to meet demand for finished goods from in-stock inventory, and expected profits or expected costs can be represented by a simple reliability curve. The shape of this curve depends upon the parameters of the demand process, specifically the expected level of demand, standard deviation and correlation structure, as well as upon the capacities and initial state of the production and inventory system. A model is presented which explicitly determines this trade-off curve for a firm. The model is intended both as an operational model to aid managers in setting revenue and service targets which are compatible with the capacities and resources of the firm, and as a tool for exploring relationships between the parameters of the demand process and the constraints of the physical production and inventory system. The results illustrate that the level of risk depends strongly on the variability of the demand process, the cost structure, the capacities and initial state of the system and, to a lesser extent, the correlation in demand between succeeding periods. Results suggest that establishing service level targets consistent with the firm's strategic orientation must be done in consideration of both the characteristics of the demand process and the capacities of the production and inventory system. The model provides a tool for estimating the premium above unit cost which must be paid to provide a designated service level.     

The Market for Non‐Executive Directors: Does Acquisition Performance Influence Future Board Seats?

This paper investigates whether non‐executive directors associated with good (bad) board decisions are subsequently rewarded (penalized) in the market for directors. This question is addressed by assessing whether the post‐acquisition performance of acquiring companies influences the number of non‐executive directorships that non‐executives involved in these acquisitions hold subsequent to the acquisition. We find that non‐executives on the boards of acquirers that increase (omit or cut) their dividend subsequently hold more (fewer) non‐executive directorships in listed companies. Our findings suggest that the non‐executive labour market is efficient and rewards (penalizes) non‐executives for good (bad) acquisitions.     

Two-scale spatial models for binary data

A spatial lattice model for binary data is constructed from two spatial scales linked through conditional probabilities. A coarse grid of lattice locations is specified, and all remaining locations (which we call the background) capture fine-scale spatial dependence. Binary data on the coarse grid are modelled with an autologistic distribution, conditional on the binary process on the background. The background behaviour is captured through a hidden Gaussian process after a logit transformation on its Bernoulli success probabilities. The likelihood is then the product of the (conditional) autologistic probability distribution and the hidden Gaussian–Bernoulli process. The parameters of the new model come from both spatial scales. A series of simulations illustrates the spatial-dependence properties of the model and likelihood-based methods are used to estimate its parameters. Presence–absence data of corn borers in the roots of corn plants are used to illustrate how the model is fitted.