Generalized Inverse Gaussian Distributions and their Wishart Connections

The matrix generalized inverse Gaussian distribution (MGIG) is shown to arise as a conditional distribution of components of a Wishart distributio n. In the special scalar case, the characterization refers to members of the class of generalized inverse Gaussian distributions (GIGs) and includes the inverse Gaussian distribution among others     

Hazardous Materials Releases in the Northridge Earthquake: Implications for Seismic Risk Assessment

In recent years, increasing attention has been given to the problem of earthquake-initiated hazardous materials releases (EIHRs). While the evidence indicates that EHIRs are an important part of the earthquake hazard profile, little attention has been given to documenting them in a way that could form the basis for more systematic estimates of their probability and consequences. Data from the January 17, 1994 Northridge earthquake document the range and nature of hazardous materials events in the impact area, including those at fixed-site facilities and in transportation systems. Proportional estimates of hazmat incidence are provided, and the implications of these data for developing risk assessments and earthquake hazard management are discussed.     

Pressures from stakeholders hit Japanese companies

In recent years few US and European executives have been faced with the task of managing in a highly complex, dynamic business environment. There is a growing awareness of the need to consider the interests of a variety of stakeholder groups when making business decisions. This awareness has quickly become a requirement for executives across the globe, even among those in Japanese firms who have historically been less encumbered due to different societal, cultural, and business expectations. This article addresses these differences and discusses the global evolution of stakeholder group influence with an emphasis on US, European, and Japanese executives.     

Asymptotic results for empirical and partial-sum processes: A review

Two processes of importance in statistics and probability are the empirical and partial-sum processes. Based on d-dimensional data X₁, … X_a the empirical measure is defined for any A ⊂ R^d by the sample proportion of observations in A. When normalized, F_n yields the empirical process W_n: = n^1/2 (F_n - F), where F denotes the “true” probability measure. To define partial-sum processes, one needs data that are assigned to specified locations (in contrast to the above, where specified unit masses are assigned to random locations). A suitable context for many applications is that of data attached to points of a lattice, say {X_j:j ϵ J^d} where J = {1, 2,…}, for which the partial sums are defined for any A ⊂ R^d by Thus S(A) is the sum of the data contained in A. When normalized, S yields the partial-sum process. This paper provides an overview of asymptotic results for empirical and partial-sum processes, including strong laws and central limit theorems, together with some indications of their inferential implications.     

The interrelationships of self-monitoring factors,personality traits,and nonverbal social skills

Following recent developments concerning individual differences in nonverbal social skills, the present study examined the inter-relationships of several standardized measures of nonverbal skills and personality. Particular attention was given to the concept of self-monitoring, thought to be a skill central to social interaction. Based on previous research which suggested that self-monitoring, as measured by the Self-Monitoring Scale (SMS), is a multidimensional construct, it was hypothesized that self-monitoring may actually be comprised of a number of more basic social skills. Correlations between standardized measures of basic social skills and three factors obtained from factor analysis of the SMS (Briggs, Cheek, & Buss, 1980) supported this conception. The elements of self-monitoring appear to be “charisma,” “performance,” and “social sensitivity.”     

Blazing new trails or opportunity lost? Evaluating research at the intersection of leadership and entrepreneurship

More than a decade ago, scholars formally conceptualized the potential synergy between leadership and entrepreneurship scholarship. Our work highlights research accomplishments occurring at the interface of these two intellectual areas as well as identifying untapped possibilities for continued research. We highlight how recent efforts have witnessed a mutual exchange of ideas that present opportunities benefiting both fields. Drawing from four key domains of entrepreneurship previously proposed to mutually inform future leadership research efforts, we make suggestions for integrating entrepreneurial opportunities, the roles of individual and entrepreneurial teams, the modes of organizing entrepreneurial ventures, and differing entrepreneurial environments with key trends important to leadership research, such as servant leadership and leader-member exchange theory. Overall, our work provides an assessment of the state of the art surrounding the coalescence of leadership and entrepreneurship research and sets an agenda for the next decade of research at this intersection.     

Efficacy of interventions targeting alcohol,drug and smoking behaviors in university and college students: A review of randomized controlled trials

Objective: To evaluate the effectiveness of interventions targeting alcohol consumption, drug use and smoking for college/university students.Participants: College/University students.Methods: Studies were eligible if: (1)included students attending universities/colleges; (2)implemented in a university/college setting; (3)aimed to improve at least one of the following behaviors: alcohol and/or drug use and/or smoking; (4)were RCTs. The effect of the interventions on behaviors was determined by the percentage of studies that reported an effect. Due to the heterogeneity of outcomes meta-analysis was not conducted.Results: 88 studies met criteria. University-based interventions were effective for reducing alcohol-related outcomes (drinking patterns, BAC, consequences, problem drinking). Inconsistent findings for drug and smoking were observed.Conclusions: University-based interventions have the potential to improve health for students. While there is a breadth of research examining the efficacy of interventions to reduce alcohol consumption, further research is needed to determine the best approach for addressing smoking and drug use among students.