A Bayesian way of monitoring the linear profiles using CUSUM control charts

In statistical process control applications, profiles functions are considered an efficient way of representing quality of products or processes. Classical and Bayesian thoughts are two chief sources of defining control charting structures for profiles monitoring. This Study introduces novel Bayesian CUSUM control structures for profiles monitoring. The comprehensive comparative study identifies that the proposed Bayesian CUSUM control charts under conjugate priors has better expected performance than competing methods. The implementation of Bayesian structures requires detailed information about process parameters which come up with considerable benefits. In addition, simulative example and case study further justified the superiority of proposed techniques.     

A New Weibull–Pareto Distribution: Properties and Applications

Many distributions have been used as lifetime models. In this article, we propose a new three-parameter Weibull–Pareto distribution, which can produce the most important hazard rate shapes, namely, constant, increasing, decreasing, bathtub, and upsidedown bathtub. Various structural properties of the new distribution are derived including explicit expressions for the moments and incomplete moments, Bonferroni and Lorenz curves, mean deviations, mean residual life, mean waiting time, and generating and quantile functions. The Rényi and q entropies are also derived. We obtain the density function of the order statistics and their moments. The model parameters are estimated by maximum likelihood and the observed information matrix is determined. The usefulness of the new model is illustrated by means of two real datasets on Wheaton river flood and bladder cancer. In the two applications, the new model provides better fits than the Kumaraswamy–Pareto, beta-exponentiated Pareto, beta-Pareto, exponentiated Pareto, and Pareto models.     

Retrieving the religion in racialization: A critical review

Scholars across disciplines have argued that race and religion are co‐constituted in part because of their historical relationship. The concept of racialization, particularly as it is housed in racial formation theory, is the way that most empirical research in sociology has approached analysis of this co‐constitution. Such analysis however is often at the expense of empirically accounting for the historical relationship between race and religion. In this article, I argue for stronger empirical consideration of this historical relationship in research on racialization. I discuss what is at stake in deeper empirical analysis and what scholars gain by using religion as a starting point to understand racialization today.     

Construction of circular partially balanced-Repeated measurement designs using cyclic shifts

Repeated measurement designs are widely used in medicine, pharmacology, animal sciences and psychology. These designs balance out the residual effects. The situations where balanced repeated measurements designs require a large number of the subjects, partially-balanced repeated measurements designs should be used. In this paper some infinite series are developed which provide circular partially-balanced repeated measurement designs for p (periods) even. Catalogues of circular partially-balanced repeated measurement designs are also presented for v (treatments) ≤ 100 with p = 5, 7 & 9.     

A new flexible generalized family for constructing many families of distributions

We propose a new flexible generalized family (NFGF) for constructing many families of distributions. The importance of the NFGF is that any baseline distribution can be chosen and it does not involve any additional parameters. Some useful statistical properties of the NFGF are determined such as a linear representation for the family density, analytical shapes of the density and hazard rate, random variable generation, moments and generating function. Further, the structural properties of a special model named the new flexible Kumaraswamy (NFKw) distribution, are investigated, and the model parameters are estimated by maximum-likelihood method. A simulation study is carried out to assess the performance of the estimates. The usefulness of the NFKw model is proved empirically by means of three real-life data sets. In fact, the two-parameter NFKw model performs better than three-parameter transmuted-Kumaraswamy, three-parameter exponentiated-Kumaraswamy and the well-known two-parameter Kumaraswamy models.     

A Systematic Review of African-Centered Therapeutic Interventions with Black American Adults

Clinical Social Work Journal - While substantial theoretical literature and growing evidence support the benefits of employing African-centered approaches with Black youth, research examining the...     

African-Centered Frameworks of Youth Development: Nuanced Implications for Guiding Social Work Practice with Black Youth

Child and Adolescent Social Work Journal - Literature within social work on African-centered frameworks that can be used to inform research and social work practice has remained limited. Often...     

Is Health Wealth? Results of a Panel Data Analysis

The objective of this paper is to determine whether health (measured by life expectancy at birth) contributes to economic growth and the functional form in which it influences per capita income. This links our study to the debate between neo-classical and endogenous growth theorists on whether investment in human capital can sustain growth indefinitely. Data on 216 countries for the period 1980–2009 has been obtained from World Development Indicators dataset. This enables us to focus on a period characterized by globalization and demographic transition manifested in the form of population graying. Our findings confirm the importance of investment in human capital. But, in contrast to conclusions of endogenous growth models, we find evidence that benefit from increasing longevity tapers off. We conclude by pointing out that it is necessary to extend this study further by incorporating other dimensions of health that are not captured by life expectancy.     

Perceptions of the processes of radicalisation and de-radicalisation among British South Asian Muslims in a post-industrial city

This paper presents the findings of a qualitative study exploring the perceptions of British South Asian Muslims in relation to the pathways towards radicalisation and the challenges of community leadership in relation to de-radicalisation. The study is based on in-depth interviews, using an ethnographic methodological framework, with a purposive sample of 30 Muslim men and women, including senior political figures, community leaders, religious figures and young Muslims (aged 18–25) from across the city of Birmingham, UK. The fieldwork was carried out between September 2005 and May 2007. Respondents reflected a general perspective that regards social exclusion, Islamophobia, lack of effective theological and political leadership, regressive anti-terror law and geo-political events as principal factors in the radicalisation and the de-radicalisation of British Muslims. These findings provide important insights into Muslims in Britain in relation to questions of ‘radicalism’ and politics, and they have specific implications for research, policy and practice in this area.     

On the Moments of a Semi-Markovian Random Walk with Gaussian Distribution of Summands

In this article, a semi-Markovian random walk with delay and a discrete interference of chance (X(t)) is considered. It is assumed that the random variables ζ _n , n = 1, 2,…, which describe the discrete interference of chance form an ergodic Markov chain with ergodic distribution which is a gamma distribution with parameters (α, λ). Under this assumption, the asymptotic expansions for the first four moments of the ergodic distribution of the process X(t) are derived, as λ → 0. Moreover, by using the Riemann zeta-function, the coefficients of these asymptotic expansions are expressed by means of numerical characteristics of the summands, when the process considered is a semi-Markovian Gaussian random walk with small drift β.