Some Pitman closeness properties pertinent to symmetric populations

In this paper, we focus on Pitman closeness probabilities when the estimators are symmetrically distributed about the unknown parameter θ. We first consider two symmetric estimators θ?₁ and θ?₂ and obtain necessary and sufficient conditions for θ?₁ to be Pitman closer to the common median θ than θ?₂. We then establish some properties in the context of estimation under the Pitman closeness criterion. We define Pitman closeness probability which measures the frequency with which an individual order statistic is Pitman closer to θ than some symmetric estimator. We show that, for symmetric populations, the sample median is Pitman closer to the population median than any other independent and symmetrically distributed estimator of θ. Finally, we discuss the use of Pitman closeness probabilities in the determination of an optimal ranked set sampling scheme (denoted by RSS) for the estimation of the population median when the underlying distribution is symmetric. We show that the best RSS scheme from symmetric populations in the sense of Pitman closeness is the median and randomized median RSS for the cases of odd and even sample sizes, respectively.     

Ordering conditional lifetimes of coherent systems

Consider a system of n components that has the property that there exists a number r  (r<n)$(r<n)$, such that if it is known that at most r components have failed, the system is still functioning with probability 1. Suppose that such a system is equipped with a warning light that comes up at the time of the failure of the rth component. The system is still working then, and we are interested in its residual life. In this paper we obtain some results which stochastically compare the residual lives of such systems with the same type, or with different types, of components. Some applications are given. In particular, we derive upper and lower bounds on the expected residual lives of such systems given that the warning light has not come up yet, and given that the component hazard rate functions are bounded from below or from above by a known constant.     

Household welfare and women empowerment through microcredit financing: Evidence from Malaysia microcredit

Microcredit financing is considered a crucial vehicle to flourish the socioeconomic conditions of women and women empowerment, especially among those who are from low-income households and deprived of access to financial services. Nevertheless, the literature arrived with a conflicting conclusion about its effect and women demonstrate that microcredit has small or no effect. This study is intended to scrutinize the impact of a productive loan provided by Amanah Ikhtiar Malaysia (AIM) on women household welfare and empowerment. A cross-sectional survey was employed through the distribution of a questionnaire to 495 of old and new borrowers. We observe that microcredit has significant positive effects on borrowers’ household income and personal asset acquisition. However, even though the effect of microcredit empowers women borrowers in households’ decisions-making, it has no effect on women control over minor financials.     

The Bayesian D-optimal design for simple beta regression model in two cases (both known and unknown nuisance parameter)

According to investigated topic in the context of optimal designs, various methods can be used to obtain optimal design, of which Bayesian method is one. In this paper, considering the model and the features of the information matrix, this method (Bayesian optimality criterion) has been used for obtaining optimal designs which due to the variation range of the model parameters, prior distributions such as Uniform, Normal and Exponential have been used and the results analysed.     

Phase-I monitoring of general linear profiles in multistage processes

In this article, the general linear profile-monitoring problem in multistage processes is addressed. An approach based on the U statistic is first proposed to remove the effect of the cascade property in multistage processes. Then, the T² chart and a likelihood ratio test (LRT)-based scheme on the adjusted parameters are constructed for Phase-I monitoring of the parameters of general linear profiles in each stage. Using simulation experiments, the performance of the proposed methods is evaluated and compared in terms of the signal probability for both weak and strong autocorrelations, for processes with two and three stages, as well as for two sample sizes. According to the results, the effect of the cascade property is effectively removed and hence each stage can be monitored independently. In addition, the result shows that the LRT approach provides significantly better results than the T² method and outperforms it under different shift and autocorrelation scenarios. Moreover, the proposed methods perform better when larger sample sizes are used in the process. Two illustrative examples, including a real case and a simulated example, are used to show the applicability of the proposed methods.     

On density and regression estimation with incomplete data

We consider the problem of estimation of a density function in the presence of incomplete data and study the Hellinger distance between our proposed estimators and the true density function. Here, the presence of incomplete data is handled by utilizing a Horvitz–Thompson-type inverse weighting approach, where the weights are the estimates of the unknown selection probabilities. We also address the problem of estimation of a regression function with incomplete data.     

Escaping into the world of make‐up routines in Iran

Traditionally, Iranian women's use of dress and make‐up has been an arena – sometimes a battleground – for identity negotiation. The present study questions the current over‐emphasis on identity and the prevalent tendency to look for identity meanings in the use of hejab (veiling) and cosmetics. The results of fifteen interpretive in‐depth interviews with young adult women in Iran reveal that these individuals' make‐up practices are largely associated with a total immersion in the experiential, creative aspects of make‐up use and with ways to uplift their tired spirits in a monotonous environment. Make‐up routines provide these women with opportunities to escape from boredom and immerse themselves in the playful fantasies of the world of cosmetics. Despite facing various challenges, including frequent stigmatization on account of their use of make‐up, the informants in the study derive high levels of satisfaction from their make‐up practices. The study establishes that changing socio‐cultural dynamics give rise to new forms of consumption experiences in contemporary society and calls for further investigation of such experiences in women's everyday lives.     

The Impact of Organizational Change on Employee Turnover Intention: Does Stress Play a Mediating Role?

This study examined the relationship between change interventions and employee turnover intention to see if change interventions lead to increased employee turnover intention. Moreover, the mediating role of employee stress was tested. Data were collected from 162 respondents working at various administrative positions in a large public organization. The results indicate that employee turnover intention is positively correlated to human process, techno structural, human resources, and strategic interventions. Limitations and direction for future research are provided.