ML-estimation based on mixtures of Normal distributions is a widely used tool for cluster analysis. However, a single outlier can make the parameter estimation of at least one of the mixture components break down. Among others, the estimation of mixtures of t-distributions by McLachlan and Peel [Finite Mixture Models (2000) Wiley, New York] and the addition of a further mixture component accoun...

Sixty undergraduates at a public university in the northwest United States recorded their approach and avoidance communal (closeness), uncommunal (distance), agentic (assertion), and unagentic (submission) goals during a total of 836 naturalistic interactions with romantic partners. They also completed a self-report measure of attachment style. Secure attachment predicted more approach than avo...

the aim of the present research was to investigate the relationship between effective relations of spouses, and mother–child relations emphasizing the meditational role of attachment style, personality traits, communication skills and sexual satisfaction. accordingly, 260 individuals including mothers and their children were randomly selected, and assessed by a package of questionnaires, includ...

Acknowledgements This research effort benefited from the input of a variety of individuals who made both substantive and technical contributions. George Rengert, a consultant on the project, provided valuable insights regarding initial patterns of triangles and suggestions regarding the analysis plan that produced them. Deborah Weisel's question about the impact of repeat victimization on trian...

With the rapid rate of adoption by farmers worldwide of crop varieties containing multiple value-added traits, mainly genetically modified traits, as many as 15 to 20 transgenic events may be offered in new maize hybrids by 2030 (Que et al. 2010; Fraley 2012). Multiple Trait Integration (MTI) is designed to integrate the specific transgenic events conferring the value-added trait phenotypes int...

MOTIVATION Clustering is a useful exploratory technique for the analysis of gene expression data. Many different heuristic clustering algorithms have been proposed in this context. Clustering algorithms based on probability models offer a principled alternative to heuristic algorithms. In particular, model-based clustering assumes that the data is generated by a finite mixture of underlying pro...

Model-based cluster analysis is a statistical tool used to investigate groupstructures in data. Finite mixtures of Gaussian distributions are a popular device used to model elliptical shaped clusters. Estim ation of mixtures of Gaussians is usually based on the maximum likelihood method. However, for a wide class of finite mixtures, including Gaussians, maximum likelihood estimates are not robu...

In recent years there has been a growing concern that pharmaceutical corporations have been profiteering at the expense of the public good. That industry is, after all, one of the most successful in the United States with an average profit margin of 15 percent. It has yielded investors an annual return of 25% over the last decade.' But is this level of corporate "success" consistent with our mo...

This research investigated how working models of attachment are carried forward from one relationship to the next. A two-part study was conducted in which participants learned about two potential dating partners: one that was constructed to resemble a romantic partner from their past and one that resembled a partner from another participant’s past. Results showed that people applied their attac...