The Role of Media Exposure on Coordination in the Humanitarian Setting

Despite high demand and resource limitations, humanitarian organizations (HOs) typically do not share resources and/or coordinate in the field. While coordination enhances operational performance and saves costs, the general perception is that it dilutes the media attention that individual organizations might receive, and negatively influences their future donation income. In this study, we empirically unveil the impact of media exposure and operational performance on the donations obtained by HOs. Then, based on the empirical results, we develop a stylized model to characterize the structure of preferred coordination policies with respect to an organization's funding source and main mandate. Our findings shed light on the incentives and dynamics that drive behaviors in humanitarian operations and provide insights for policy makers on designing and implementing mechanisms that encourage humanitarian coordination.     

Multivariate normal mean-variance mixture distribution based on Lindley distribution

This article introduces a new asymmetric distribution constructed by assuming the multivariate normal mean-variance mixture model. Called normal mean-variance mixture of the Lindley distribution, we derive some mathematical properties of the new distribution. Also, a feasible maximum likelihood estimation procedure using the EM algorithm and the asymptotic standard errors of parameter estimates are developed. The performance of the proposed distribution is illustrated by means of real datasets and simulation analysis.     

Simultaneous confidence intervals for comparing several inverse Gaussian means under heteroscedasticity

Recently, Zhang [Simultaneous confidence intervals for several inverse Gaussian populations. Stat Probab Lett. 2014;92:125–131] proposed simultaneous pairwise confidence intervals (SPCIs) based on the fiducial generalized pivotal quantity concept to make inferences about the inverse Gaussian means under heteroscedasticity. In this paper, we propose three new methods for constructing SPCIs to make inferences on the means of several inverse Gaussian distributions when scale parameters and sample sizes are unequal. One of the methods results in a set of classic SPCIs (in the sense that it is not simulation-based inference) and the two others are based on a parametric bootstrap approach. The advantages of our proposed methods over Zhang’s (2014) method are: (i) the simulation results show that the coverage probability of the proposed parametric bootstrap approaches is fairly close to the nominal confidence coefficient while the coverage probability of Zhang’s method is smaller than the nominal confidence coefficient when the number of groups and the variance of groups are large and (ii) the proposed set of classic SPCIs is conservative in contrast to Zhang’s method.     

On the Qualities of a Teacher and a Student: An Eastern perspective based on Buddhism,Vedanta and Sufism

This essay looks at the requirements and qualities of a student and a teacher as seen from Eastern traditions such as Vedanta, Zen Buddhism and Sufism. The objective is to show or to propose that the same qualities are also needed in our present-day education system, no matter what the subject of study is. Though the emphasis is on these three particular systems, it is understood that one can find the same or similar qualities in other spiritual traditions. At the end of the essay, a heat transfer model is developed whereby the different aspects of an "ideal" teacher, sometimes also referred to as the real teacher, or the true teacher, can be obtained from such a model.     

Vehicle Procurement Policy for Humanitarian Development Programs

This article aims to identify optimal vehicle procurement policies for organizations engaged in humanitarian development programs and to derive general insights on the characteristics of these policies. Toward that end, we follow an inductive approach. First, we study the operations of the International Committee of the Red Cross (ICRC) in three representative countries: Sudan, Afghanistan, and Ethiopia. Using a linear programming (LP) model primed with field data provided by the ICRC, we calculate the optimal vehicle fleet size and compare it with the policies actually implemented. Second, drawing from results of the LP model, we develop a stylized quadratic control model and use it to characterize the general structure of the optimal policy under different demand scenarios and operational constraints. After demonstrating that the results of the control model are consistent with those of the LP model in the specific context analyzed, we discuss the optimal policies and the applicability of the former as a practical tool for strategic asset planning.     

A skew factor analysis model based on the normal mean–variance mixture of Birnbaum–Saunders distribution

This paper presents a robust extension of factor analysis model by assuming the multivariate normal mean–variance mixture of Birnbaum–Saunders distribution for the unobservable factors and errors. A computationally analytical EM-based algorithm is developed to find maximum likelihood estimates of the parameters. The asymptotic standard errors of parameter estimates are derived under an information-based paradigm. Numerical merits of the proposed methodology are illustrated using both simulated and real datasets.     

Efficacy of writing for recovery on traumatic grief symptoms of Afghani refugee bereaved adolescents: a randomized control trial

Effective evidence-based intervention for traumatic bereavement is one of the current major research issues in the field of Post Traumatic Stress Disorder (PTSD) in children and adolescents. The "Writing for Recovery" group intervention is a new treatment approach developed by the Children and War Foundation for traumatized and bereaved children and adolescents after disasters. The purpose of this project was an empirical examination of this intervention with 12- to 18-year-old war bereaved Afghani refugees. Eighty-eight war bereaved Afghani refugees were screened using the Traumatic Grief Inventory for Children (TGIC). From those with the highest total score, 61 were randomly assigned to either an experimental (n = 29) or control group (n = 32). The experimental group received six sessions of group training on 3 consecutive days in their school. The difference of TGIC scores between the experimental group in pretest and posttest was significant (p = 0.001). Results of analysis of covariance also showed a significant effect of Writing for Recovery on the experimental group (p < 0.001). It is concluded that "Writing for Recovery" is an effective group intervention for bereaved children and adolescents after disasters.     

The impact of acculturation identification and acculturative stress on creativity among Iranian immigrants living in Malaysia

The authors investigate how patterns of heritage and mainstream cultural identification and acculturative stress may explain how Iranians living in Malaysia demonstrate enhanced creativity in creative achievements and creative problem-solving. The sample included 328 Iranian students who were recruited using a cluster sampling method. The results reveal that acculturative strategies (biculturalism, bicultural integration, or bicultural marginalisation) are associated with enhanced creativity. Specifically, strategies that involve disengaging from cultural practices, also referred to as marginalisation, are associated with creative achievements and finding creative solutions to problems. Moreover, heritage cultural identification mediated the relationship between culture shock and creative solution. That is, students who experienced culture shock in the mainstream culture relied on their cultural heritage knowledge and showed decline in their ability to solve a problem creatively. The findings illuminate how creative accomplishment and enhanced creativity potential may be linked to acculturation strategies.     

Testing the equality of several inverse Gaussian means under heterogeneity

Abstract

We consider the problem of testing the equality of several inverse Gaussian means when the scale parameters and sample sizes are possibly unequal. We propose four parametric bootstrap (PB) tests based on the uniformly minimum variance unbiased estimators of parameters. We also compare our proposed tests with the existing ones via an extensive simulation study in terms of controlling the Type I error rate and power performance. Simulation results show the merits of the PB tests.