Statistical Analyses and Modelling of the Mixing Process of Euro Coins in Germany and Europe

This paper reports on the mixing of Euro coins from different countries of origin in Europe, which started on 1 January 2002. There is an interesting conclusion: that the mobility of small and large denominations is different. The long‐term behaviour of the mixing process is studied using a simple deterministic model and data from Germany, France and the Netherlands. The analysis leads to predictions about the future progress of the mixing process.     

A Unified Approach to the Approximation of Multivariate Densities

Approximation of a density by another density is considered in the case of different dimensionalities of the distributions. The results have been derived by inverting expansions of characteristic functions with the help of matrix techniques. The approximations obtained are all functions of cumulant differences and derivatives of the approximating density. The multivariate Edgeworth expansion follows from the results as a special case. Furthermore, the density functions of the trace and eigenvalues of the sample covariance matrix are approximated by the multivariate normal density and a numerical example is given     

The health demographic profile system: current and longitudinal data base for social area analysis

The development of the Health Demographic Profile System, which is based on the 1980 census, is described. The system includes social and economic indicators designed to identify high risk target populations, in terms of mental health and general health service needs, as well as to describe the social and economic structure of both mental health service and other small geographic areas. The report describes: (1) the original system, that is, the Mental Health Demographic Profile System (MHDPS), which is based on the 1970 census, including details of the approach and content, (2) the 1980 provisional indicators and planned products, (3) plans for the development of a longitudinal system based on 1960, 1970, and 1980 data, and (4) current and future studies related to the 1980 Health Demographic Profile System.     

Commentary on “Critical Flaws in the FSFI and IIEF”

This invited commentary responds to recent criticisms of two validated and widely used sexual function questionnaires, the Female Sexual Function Index (FSFI) and the International Index of Erectile Function (IIEF) (Forbes, Baillie, &; Schniering, 2014 Forbes , M. K. , Baillie , A. J. , &; Schniering , C. A. ( 2014 ). Critical flaws in the Female Sexual Function Index and the International Index of Erectile Function . Journal of Sex Research , 51 , 485 – 491 . doi: 10.1080/00224499.2013.876607 [Taylor &; Francis Online], [Web of Science ®] , [Google Scholar]). We take issue with the conceptual arguments presented, selective review of published literature on both instruments, and conclusions drawn from methodologically flawed findings from an Internet-based study in a nonrepresentative group of Australian men and women. Alternative perspectives on the IIEF and FSFI are presented.     

Functional disability among chronic pain patients receiving long-term opioid treatment

This study of 2,163 adult chronic, non-cancer-pain, long-term opioid therapy patients examines the relationship of depression to functional disability by measuring average pain interference, activity limitation days, and employment status. Those with more depression symptoms compared to those with fewer were more likely to have worse disability on all 3 measures (average pain interference score >5, OR = 5.36, p < .0001; activity limitation days ≥ 30, OR = 4.05, p < .0001; unemployed due to health reasons, OR = 4.06, p < .0001). Depression might play a crucial role in the lives of these patients; identifying and treating depression symptoms in chronic pain patients should be a priority.     

Computationally and statistically efficient model fitting techniques

A significant challenge in fitting metamodels of large-scale simulations with sufficient accuracy is in the computational time required for rigorous statistical validation. This paper addresses the statistical computation issues associated with the Bootstrap and modified PRESS statistic, which yield key metrics for error measurements in metamodelling validation. Experimentation is performed on different programming languages, namely, MATLAB, R, and Python, and implemented on different computing architectures including traditional multicore personal computers and high-power clusters with parallel computing capabilities. This study yields insight into the effect that programming languages and computing architecture have on the computational time for simulation metamodel validation. The experimentation is performed across two scenarios with varying complexity.