Bayesian inference of the inverse Weibull mixture distribution using type-I censoring

A large number of models have been derived from the two-parameter Weibull distribution including the inverse Weibull (IW) model which is found suitable for modeling the complex failure data set. In this paper, we present the Bayesian inference for the mixture of two IW models. For this purpose, the Bayes estimates of the parameters of the mixture model along with their posterior risks using informative as well as the non-informative prior are obtained. These estimates have been attained considering two cases: (a) when the shape parameter is known and (b) when all parameters are unknown. For the former case, Bayes estimates are obtained under three loss functions while for the latter case only the squared error loss function is used. Simulation study is carried out in order to explore numerical aspects of the proposed Bayes estimators. A real-life data set is also presented for both cases, and parameters obtained under case when shape parameter is known are tested through testing of hypothesis procedure.     

Role of AKRSP on Gender Development: A Case Study in Pakistan

ABSTRACT

In Pakistan, nongovernmental agencies (NGOs) play an important role in program implementation. This study focuses on the contribution of one of these NGO social service programs that serves women in a rural area of Pakistan. To assess program satisfaction and effectiveness, 200 females were surveyed to measure their opinions and overall satisfaction with this particular NGO. The key findings of the study showed that the Aga Khan Rural Support Program (AKRSP) had a significant positive impact on the lives of these women through increasing social and decision-making skills while improving their income and living standards by providing employment opportunities and training. Future recommendations are made to continue to sponsor such programs that focus on a group-support for women while also providing supportive services that empower decision-making and economic standing.     

Emotions and their management during a merger in Brunei

Studies have shown that the emotional impact of mergers influences employees' attitudes to change as well as more distal post-merger outcomes such as job satisfaction, organizational commitment and withdrawal. Understanding the role of emotions during mergers can therefore provide insights into why major change produces varying outcomes. This study presents findings from a qualitative study examining the emotional impact of a merger between two banking institutions on managers in Brunei. The distinctive national culture representing a fusion of Malay and Islamic values was found to influence the emotional impact of this merger. These values place less emphasis on personal control as a means for dealing with uncertainty. The findings suggest that Western transactional models of perceived control to explain how people manage change may have far more limited application within a Bruneian context.     

The journey effect: how travel affects the experiences of mental health in-patient service-users and their families

The qualitative study presented in this paper explored the perspectives of service-users, family members and staff about the impact of travel issues on the lives of mental health in-patients and carers. This topic was chosen because it was prioritised by members of Xplore, a service-user and carer research group, and has received little research attention. Travel problems were a significant issue for many service-users and carers, bound-up with mental health issues and the recovery experience. Travel facilitation through the funding of taxis and the provision of guides was appreciated. A few service-users and carers positively valued distancing from their previous home environment. The meaning of travel issues could only be understood in the context of individuals’ wider lives and relationships. The significance of the findings is discussed in relation to the social model of disability.     

Animating leadership: Crisis and renewal of governance in 4 mythic narratives

This paper analyzes four animated films in order to explore themes of leadership crises and leadership emergence. Drawing on psychoanalysis and structuralist film studies, this paper explores leadership emergence as a mythic structure within the four films, arguing that these myths are structured around a struggle of a young novice against an evil power figure, and the overcoming of this figure through a process of self-discovery and maturation. Central themes include the relations between self-realization of leaders and the social harmony, the battle with evil leaders as an ego-struggle, and exile and journey as a precursor to mature leadership competence. The paper attempts to show how, following Miendl et al. [Meindl, J. R., Erlich, S. B. & Dukerich, J. M. (1985). The romance of leadership. Administrative Science Quarterly, 30, 78–102] leadership myths often conflate individual psychological well-being with social well-being, and add to this perspective that such a conflation may be key to understanding leadership myths as projections of internal psychological dynamics. More generally, it is argued that treating popular culture such as animated allegories as contemporary myth offers scholars a view into popular conceptions of leadership, possible illuminating the relationships between leadership and social organization.     

Patriarchal bargains in short-term women's migration from Bangladesh

This paper looks at the migration of women from Bangladesh to the Middle East as short-term migrants, mainly for work in the domestic care sector as domestic workers, housekeepers, nannies, cooks, etc. This group accounts for about 15 per cent of the total short-term migration cohort. They face particular challenges around not only the precarity of their employment but also in navigating a series of patriarchal norms in both Bangladesh and the destination countries in the Middle East. The paper will build on the work of Deniz Kandiyoti and her seminal work on patriarchal bargains. This paper will explore the challenges women face in migrating to the Middle East: in their decision to migrate, their experiences abroad, and on return and reintegration into Bangladesh society and their home life, and how these are determined by a series of patriarchal bargains both in Bangladesh and the destination country.     

Inference using attributable risk for a 2×2 case–control study

Asymptotic variance plays an important role in the inference using interval estimate of attributable risk. This paper compares asymptotic variances of attributable risk estimate using the delta method and the Fisher information matrix for a 2×2 case–control study due to the practicality of applications. The expressions of these two asymptotic variance estimates are shown to be equivalent. Because asymptotic variance usually underestimates the standard error, the bootstrap standard error has also been utilized in constructing the interval estimates of attributable risk and compared with those using asymptotic estimates. A simulation study shows that the bootstrap interval estimate performs well in terms of coverage probability and confidence length. An exact test procedure for testing independence between the risk factor and the disease outcome using attributable risk is proposed and is justified for the use with real-life examples for a small-sample situation where inference using asymptotic variance may not be valid.     

Using the Diffusion of Innovation Concept to Explain the Factors That Contribute to the Adoption Rate of E-journal Publishing

This paper reports on the factors that contribute to the adoption rate of e-journal publishing based upon responses from 82 Malaysian journal publishers. Drawing upon the theory of innovation diffusion, the study examines the role of awareness, three organization variables (publication size, age of the journal, and experience of editors), and attributes of e-journals (relative advantage, compatibility, complexity, trialability and observability) as influences to the rate of e-journal publishing adoption. Findings show that only two attributes—complexity and trialability—emerge as significant contributors to e-journal adoption rates, and all three organization variables—journal's age, publication size, and editorial experience—are significant. Collectively, these five significant variables explained 57.8% of the variance in adoption rate. We discuss the results and implication of the findings with respect to the wider context of e-journal publishing.     

Semiparametric Estimation with Profile Algorithm for Longitudinal Binary Data

This article considers analyzing longitudinal binary data semiparametrically and proposing GEE-Smoothing spline in the estimation of parametric and nonparametric components. The method is an extension of the parametric generalized estimating equation to semiparametric. The nonparametric component is estimated by smoothing spline approach, i.e., natural cubic spline. We use profile algorithm in the estimation of both parametric and nonparametric components. Properties of the estimators are evaluated by simulation.