New control charts for simultaneous monitoring of the mean vector and covariance matrix of multivariate multiple linear profiles

Simultaneous monitoring of the mean vector and covariance matrix in multivariate processes allows practitioners to avoid the inflated false alarm rate that results from using two independent control charts. In this paper, we extend exponentially weighted moving average semicircle and generally weighted moving average semicircle control charts to monitor the mean vector and covariance matrix of multivariate multiple linear regression profiles in Phase II simultaneously. These new control charts are compared with the existing control charts in the literature in terms of the average run length criterion. Finally, a case is considered to show the application of the proposed charts.     

Self-Starting control charts for monitoring logistic regression profiles

In some applications, quality engineers cannot monitor the processes at the beginning of the production process. Because the process parameters are unknown and there are not enough initial samples to estimate the process parameters. Self-starting control charts are applied to monitor processes at the start-up stages with no enough initial samples. In this paper, we propose three self-starting control charts to monitor a logistic regression profile which models the relationship between a binomial response variable and explanatory variables. Also, we compare the proposed control charts with each other through simulation studies in terms of average run length (ARL) criterion.     

Perception of Western governments’ hostility to Islam among European Muslims before and after ISIS: the important roles of residential segregation and education

Perception of Western governments’ hostility to Islam is one of the indicating features of Islamic fundamentalism and, in some cases, is serving as a pull to join extremist groups. In this paper, using data from two waves of a cross‐national survey, we investigate what affects European Muslims’ opinions about Western governments. We find that residential segregation is associated with perceived hostility of Western governments to Islam. Further, we find that Muslims living in segregated neighbourhoods and enclaves have a higher probability of believing that Western governments are hostile to Islam. National origins of Muslim immigrants have a significant impact, with people from African countries measuring less perceived hostility than others. We also find that education is associated with perceived hostility of Western governments to Islam in a non‐linear way. People with the highest and lowest levels of education tend to be less likely to believe that Western governments are hostile to Islam, relative to people with mid‐level education. This non‐linear effect is best explained by education’s differential effects on perceptions of key world events. During the time between 2011 – before ISIS’s announcement of its Caliphate in Iraq and Syria – and 2013, subsequent to that announcement, we see a sharp decrease in perception of Western governments’ hostility to Islam, particularly among more educated European Muslims. We make the case that this decrease can be attributed, in some ways, to the emergence of ISIS. We discuss our findings in terms of theoretical and policy implications.