Children’s conceptualisation(s) of their well-being

This paper describes the process and some findings of a collaborative project between the New South Wales Commission for Children and Young People and researchers at the Social Justice and Social Change Research Centre, at the University of Western Sydney. The project was designed to inform the Commission in implementing its legislative mandate to develop a set of well-being indicators to monitor children's well-being over time. Placing children centrally as research participants was fundamental to the methodological approach of the project in which children's understandings of what contributes to their well-being were explored through qualitative methods. We discuss the epistemological and methodological approaches used in the project, in the context of other, earlier research towards the development of children's well-being indicators. Some of the early findings from the collaborative project are outlined and an example given of the way in which knowledge produced by a research approach which places children centrally, differs from and is similar to knowledge produced by more traditional child social indicator research. The paper ends with a discussion of some of the implications and challenges posed by reflecting on the research process and early findings from the research.     

Block unimodality for multivariate Bayesian robustness

Summary The development of Bayesian robustness has been growing in the last decade. The theory has extensively dealt with the univariate parameter case. Among the vast amount of proposals in the literature, only a few of them have a straightforward extension to the multivariate case. In this paper we consider the multidimensional version of the class of ε-contaminated prior distributions, with unimodal contaminations. In the multivariate case there is not a unique definition of unimodality and one's choice must be based on statistical ground. Here we propose the use of the block unimodal distributions, which proved to be very suitable for modelling situations where the coordinates of the parameter ϑ are deemed, a priori, weakly correlated.     

THE WRAPPED t FAMILY OF CIRCULAR DISTRIBUTIONS

This paper considers the three‐parameter family of symmetric unimodal distributions obtained by wrapping the location‐scale extension of Student's t distribution onto the unit circle. The family contains the wrapped normal and wrapped Cauchy distributions as special cases, and can be used to closely approximate the von Mises distribution. In general, the density of the family can only be represented in terms of an infinite summation, but its trigonometric moments are relatively simple expressions involving modified Bessel functions. Point estimation of the parameters is considered, and likelihood‐based methods are used to fit the family of distributions in an illustrative analysis of cross‐bed measurements. The use of the family as a means of approximating the von Mises distribution is investigated in detail, and new efficient algorithms are proposed for the generation of approximate pseudo‐random von Mises variates.     

Unified Bayesian conditional autoregressive risk measures using the skew exponential power distribution

Statistical Methods & Applications - Conditional Autoregressive Value-at-Risk and Conditional Autoregressive Expectile have become two popular approaches for direct measurement of market risk....     

The Effect of Volunteering for Community Activity on the Social Resources of Low-SES Residents: Differences Between Volunteer Community Activists and Other Residents

VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations - Community interventions seek to increase volunteer activists’ social resources in order to further the establishment...     

Group selection for production yield among k manufacturing lines

Producing qualified items or products is essential to meet the requirement preset by customers. Evaluation and selection of desired manufacturing lines become challenging tasks for decision makers. Production yield is one of the important factors in measuring production performance. The goal of this paper is to screen a group of manufacturing lines and identify the best one with the highest yield. For the production lines with extremely low fraction of defectives, the yield index, S_pk, is an efficient indicator for quality level. This paper considers the production selection problem by using S_pk to compare k (k>2) manufacturing lines. A subset is constructed to contain the production lines with the highest yield. A systematic approach of test order k compares selected pairs of manufacturing lines along with the Bonferroni method is proposed to solve this problem. Each pair of production yields is compared by taking ratio. The paper provides critical values and required sample sizes of the group selection procedure. An application example on evaluating four power inductor productions is presented to illustrate the practicality of the proposed approach.     

Censored Exponential Data: Large Deviations for MLEs and Posterior Distributions

In this article, we consider several statistical models for censored exponential data. We prove a large deviation result for the maximum likelihood estimators (MLEs) of each model, and a unique result for the posterior distributions which works well for all the cases. Finally, comparing the large deviation rate functions for MLEs and posterior distributions, we show that a typical feature fails for one model; moreover, we illustrate the relation between this fact and a well-known result for curved exponential models.