The conditional censored graphical lasso estimator

Statistics and Computing - In many applied fields, such as genomics, different types of data are collected on the same system, and it is not uncommon that some of these datasets are subject to...     

Matsumoto and Ekman's Japanese and Caucasian Facial Expressions of Emotion (JACFEE): Reliability Data and Cross-National Differences

Substantial research has documented the universality of several emotional expressions. However, recent findings have demonstrated cultural differences in level of recognition and ratings of intensity. When testing cultural differences, stimulus sets must meet certain requirements. Matsumoto and Ekman's Japanese and Caucasian Facial Expressions of Emotion (JACFEE) is the only set that meets these requirements. The purpose of this study was to obtain judgment reliability data on the JACFEE, and to test for possible cross-national differences in judgments as well. Subjects from Hungary, Japan, Poland, Sumatra, United States, and Vietnam viewed the complete JACFEE photo set and judged which emotions were portrayed in the photos and rated the intensity of those expressions. Results revealed high agreement across countries in identifying the emotions portrayed in the photos, demonstrating the reliability of the JACFEE. Despite high agreement, cross-national differences were found in the exact level of agreement for photos of anger, contempt, disgust, fear, sadness, and surprise. Cross-national differences were also found in the level of intensity attributed to the photos. No systematic variation due to either preceding emotion or presentation order of the JACFEE was found. Also, we found that grouping the countries into a Western/Non-Western dichotomy was not justified according to the data. Instead, the cross-national differences are discussed in terms of possible sociopsychological variables that influence emotion judgments.     

An application of taguchi's methods reconsidered

Two aspects of Taguchi's methods for analyzing parameter design experiments that can be improved upon are considered. It is shown how using interaction graphs instead of marginal graphs, and how using the sample variance instead of a signal-to-noise ratio, can lead to product designs that are more robust to variation. The advantages of the alternative analysis will be illustrated by reanalyzing a case study considered by Barker (1986).     

Hospital social workers' assessment processes for children at risk: positions in and contributions to inter-professional teams

This article explores hospital social workers' assessment processes for children at risk within the context of inter-professional teams working in child hospital care in Sweden. Based on qualitative interviews, the study discusses how assessment processes for children at risk can be understood from a professionalism perspective. Three institutionalized norms—juridical, therapeutic, and medical, building on different knowledge systems—are analyzed in relation to the three positions taken by hospital social workers as team members—active, reflective, or passive—leading to different kinds of actions in the assessment processes. The outlined norms and the positions taken involve consequences for the children and their families, but also pose questions for the future professionalization efforts of hospital social work.     

On Mixture Failure Rates Ordering

Mixtures of increasing failure rate distributions (IFR) can decrease at least in some intervals of time. Usually, this property can be observed asymptotically as t → ∞. This is due to the fact that the mixture failure rate is “bent down” compared with the corresponding unconditional expectation of the baseline failure rate, which was proved previously for some specific cases. We generalize this result and discuss the “weakest populations are dying first” property, which leads to the change in the failure rate shape. We also consider the problem of mixture failure rate ordering for the ordered mixing distributions. Two types of stochastic ordering are analyzed: ordering in the likelihood ratio sense and ordering in variances when the means are equal.     

Experimental design for four mixture components with process variables

The experimental design to model the response of a mixture in four components in the presence of process variables is considered. Two different blocks of blends that are orthogonal for linear or quadratic blending are D-optimized. The two orthogonal blocks of blends are generalized and D-optimized in some cases (and possibly Doptimized in others) to deal with restrictions on the blending component proportions. The pair of orthogonal D-optimal blocks of blends can be used with an arbitrary number of process variables, and requires a reduced number of observations.