Do Work Demands and Resources Predict Work-to-Family Conflict and Facilitation? A Study of Iranian Male Employees

This study examined the effects of some work demands-resources on two dimensions of work-to-family interface among Iranian employees. The results of canonical correlation and multiple-regression showed that among work resources (i.e., social support and autonomy), social support was associated negatively with work-to-family conflict and autonomy was associated positively with work-to-family facilitation. Also, among work demands (i.e., job demands and working hours), job demands were associated with both work-to-family conflict and work-to-family facilitation. Unlike previous studies, working hours shows a positive association with work-to-family facilitation, which may be explained by the specific cultural context in Iran. The findings of the study will be of importance to employees and organizations.

The discrepancy of P-values and posterior probability: Two-sided hypothesis of variance of normal distribution with unknown mean

This article is concerned with the comparison of P-value and Bayesian measure in point null hypothesis for the variance of Normal distribution with unknown mean. First, using fixed prior for test parameter, the posterior probability is obtained and compared with the P-value when an appropriate prior is used for the mean parameter. In the second, lower bounds of the posterior probability of H₀ under a reasonable class of prior are compared with the P-value. It has been shown that even in the presence of nuisance parameters, these two approaches can lead to different results in the statistical inference.     

Inequality and Growth in Tunisia: New Evidence from Threshold Regression

Social Indicators Research - This paper uses a threshold regression model to test for threshold effect in the relationship between income inequality and growth for Tunisia over the period...     

Shortest paths among transient obstacles

Journal of Combinatorial Optimization - We present an optimal algorithm for determining a time-minimal rectilinear path among transient rectilinear obstacles. An obstacle is transient if it exists...     

Simultaneous arrival of customers to two different queues and modeling dependence via copula approach

ABSTRACT

In classical queueing systems, a customer is allowed to wait only in one queue to receive the service. In practice, when there exist a number of queues rendering the same service, some customers may tend to simultaneously take turn in more than one queue with the aim to receive the service sooner and thus reduce their waiting time. In this article, we introduce such a model and put forward a methodology to deal with the situation. In this regard, we consider two queues and assume that if a customer, who has turn in both queues, receives the service from one of the queues, the other turn is automatically withdrawn. This circumstance for the model brings about some abandonment in each queue as some customers receive the service from the other one. We study the customer’s waiting time in the mentioned model, which is defined as the minimum of waiting times in both queues and obtain probability density function of this random variable. Our approach to obtain probability density function of each of the waiting time random variables is to rely on the existing results for the abandonment case. We examine the situation for the cases of independence and dependence of the waiting time random variables. The latter is treated via a copula approach.     

On the Mixture Proportional Mean Residual Life Model

In this article, we propose a new mixture model induced by the model of proportional mean residual life. Under some appropriate assumptions, it is shown that the mixing and overall variables in the model admit the positive likelihood ratio dependence structure. To see how the overall variable is affected by the stochastic variation of the mixing variable, we study some stochastic comparisons using these variables. Finally, some useful bounds for tail probability of the overall variable for large values of the mixing variable are derived.     

Wavelet analysis of uniformly time-modulated processes

Uniformly time-modulated processes (UTMP) offer a simple, though convenient model for many non stationary time series. However, in many applications, dependency is considered as a disturbing factor. For the UTMP using Weierstrass representation of modulating function, we demonstrated that the correlation between coefficients in wavelet domain is a decreasing function of number of wavelet vanishing moments and tends to zero in progressive rate as we move from finer scales to coarser scales.     

Exercise training in thermo-mineral spring water has beneficial effects on hemodynamic and health-related factors in young-older hypertensive women: A randomized control trial

ABSTRACT

The aim of the study was to evaluate the effects of an 8-week aerobic training in mineral geothermal water on hemodynamic variables, VO_2max, and body composition in sedentary hypertensive women. Twenty postmenopausal women (58.55 ± 3.28 years) were divided into an exercise group (2 days/week, 30–40 minutes, 60%–75% of HR_max) and control group. Compared to the control group, a signi?cant reduction in systolic blood pressure, heart rate, rate pressure product, body fat percent, and a signi?cant improvement in VO_2max values was found. Aerobic training in thermo-mineral spring water is a safe and effective training modality in the young-older hypertensive population.     

Determinants of Profitability of Banking Sector in India

India currently is one of the fastest growing economies in the world. One sector of Indian economy that has played a critical role in transforming the Indian economy has been its banking sector. But this sector of Indian economy has also gone through a major transition that is still in progress. Many events and policies have contributed in this transition. One pivotal variable has been the growing profitability of this sector in the recent years. But profitability in banking sector is affected by numerous factors. These factors can be internal or external. In this research we shall try to examine the most important factors that may stem from both internal and external factors, which affect profitability of Indian banking sector. For this study a balanced panel data set is used that is drawn from Indian banking industry. The data is compiled for the purpose of investigating the nature of the relationship between the profitability and the factors that determine profitability of banks in India. The results of the study clearly demonstrate a close correlation between both internal and external factors and the level of profitability of banks in India.