Women–Family in Quality Perspective

Bringing together women and family in quality perspective bring about interesting discussions in this paper. By integrating previous studies and considering expert opinions, we determinate the variables and dimensions with respect to women’s existence regarding their roles both in the family and at work. Many activities carried out by women represent the consumer aspects of their role. Women undertake these activities to fulfill their needs, which can be classified in the order of preference using Maslow’s Hierarchy of Need. Women success can be measured based on their ability to perform their roles successfully. We identify women’s performance by using quality approach of Personal Quality Maintenance (PQM), which is widely applied in many organizations in order to maintain the service delivery, which meets the customer satisfaction. The effort to enhance women’s satisfaction for their success in playing the multirole in the family and at work is our main consideration. This study may contribute a new point of view regarding for the women’s welfare and existence.     

Bayesian parameter inference for stochastic SIR epidemic model with hyperbolic diffusion

This paper is concerned with the Bayesian estimation parameters of the stochastic SIR (Susceptible-Infective-Removed) epidemic model from the trajectory data. Specifically, the data from the count of both infectives and susceptibles is assumed to be available on some time grid as the epidemic progresses. The diffusion approximation of the appropriate jump process is then used to estimate missing data between every pair of observation times. If the time step of imputations is small enough, we derive the posterior distributions of the infection and recovery rates using the Milstein scheme. The paper also presents Markov-chain Monte Carlo (MCMC) simulation that demonstrates that the method provides accurate estimates, as illustrated by the synthetic data from SIR epidemic model and the real data.     

A new generalization of the Weibull-geometric distribution with bathtub failure rate

In this paper, the researchers attempt to introduce a new generalization of the Weibull-geometric distribution. The failure rate function of the new model is found to be increasing, decreasing, upside-down bathtub, and bathtub-shaped. The researchers obtained the new model by compounding Weibull distribution and discrete generalized exponential distribution of a second type, which is a generalization of the geometric distribution. The new introduced model contains some previously known lifetime distributions as well as a new one. Some basic distributional properties and moments of the new model are discussed. Estimation of the parameters is illustrated and the model with two known real data sets is examined.     

Analyzing the Import Demand Function with Expenditure Components: Evidence from Pakistan

This study highlights the responsiveness of import demand in the context of aggregate expenditure components in Pakistan over the period of 1974?C2009. The study uses Johansen multivariate cointegration analysis and estimates an error correction model to drive the long-run and short run elasticities of the import demand behavior. The cointegration results provide a strong empirical validity of the presence of long run elasticities between import and macro-components. In the long-run, the consumption expenditure is the main dominant determinants of the movements in import demand in Pakistan. In the short-run, the consumption and investment expenditures are the major determinants of import demand while the import demand is not sensitive to relative price. Moreover, the parameter stability tests confirm the stability of the model, and the sensitivity analysis confirms the robustness of initial results.     

Selective Maintenance in System Reliability with Random Costs of Repairing and Replacing the Components

In this paper we consider the problem of determining the optimum number of repairable and replaceable components to maximize a system's reliability when both, the cost of repairing the components and the cost of replacement of components by new ones, are random. We formulate it as a problem of non-linear stochastic programming. The solution is obtained through Chance Constrained programming. We also consider the problem of finding the optimal maintenance cost for a given reliability requirement of the system. The solution is then obtained by using Modified E-model. A numerical example is solved for both the formulations.     

Evaluating the effectiveness of the first breast cancer awareness campaign in the United Arab Emirates: Lessons learned and next steps

Following an innovative breast cancer awareness campaign in the United Arab Emirates, a dual language survey of 500 women and in-depth interviews were conducted. The study found television advertising to be the most optimal awareness communication method, particularly among Emirati and other Arab women respondents. The research also found strong support for a year-long awareness campaign.     

Towards an Objective Classification Scheme for Organizational Task Environments

This study replicates, refines, cross-validates and simplifies a scheme of operationalization and measurement of environmental dimensions proposed by Dess and Beard (1984). Employing a sample of 60 industries and data over a 16-year period, this study found considerable support for the viability of the three dimensions of munificence, dynamism and complexity. The data intensive and computationally complex operationalization scheme was simplified using a discriminant analysis approach and the discriminant functions were cross-validated using an alternate data set.     

South-South Cooperation and Export

We study the possibility of cartel formation among primary exporters who face an inelastic world demand for their exports. The phenomenon of immiserizing export growth appears as a non-cooperative equilibrium in a two-country export game. With infinite repetitions of the one shot game, we show that `different country size' will be detrimental to the sustenance of the collusive behavior needed for eliminating the possibility of immiserization.     

Domestic Violence Service Providers’ Needs and Perceptions of Technology: A Qualitative Study

There is growing recognition of the need to better understand the intersections between the work of domestic violence service providers and technology. Professionals who work with clients impacted by domestic violence are increasingly using technologies across different aspects of their work, including communicating with other professionals and seeking information and resources via the Internet. The current study used qualitative data from two sources—individual interviews and two focus groups—to learn about domestic violence service providers’ needs and perceptions related to technology use. The results provide insights about technologies used currently, expected benefits of future technological advances, barriers to using technology, and participants’ self-rated levels of comfort with technology.     

Monitoring and change-point estimation for spline-modeled non-linear profiles in phase II

In some applications of statistical quality control, quality of a process or a product is best characterized by a functional relationship between a response variable and one or more explanatory variables. This relationship is referred to as a profile. In certain cases, the quality of a process or a product is better described by a non-linear profile which does not follow a specific parametric model. In these circumstances, nonparametric approaches with greater flexibility in modeling the complicated profiles are adopted. In this research, the spline smoothing method is used to model a complicated non-linear profile and the Hotelling T² control chart based on the spline coefficients is used to monitor the process. After receiving an out-of-control signal, a maximum likelihood estimator is employed for change point estimation. The simulation studies, which include both global and local shifts, provide appropriate evaluation of the performance of the proposed estimation and monitoring procedure. The results indicate that the proposed method detects large global shifts while it is very sensitive in detecting local shifts.