This paper applies a large number of models to three previously-analyzed data sets, and compares the point estimates and confidence intervals for technical efficiency levels. Classical procedures include multiple comparisons with the best, based on the fixed effects estimates; a univariate version, marginal comparisons with the best; bootstrapping of the fixed effects estimates; and maximum lik...

Several methods used in fisheries stock assessment models that can be applied to population viability analysis are presented. (1) Integrated analysis allows the use of all information on a particular population, and ensures that all model assumptions and parameter are consistent throughout the analysis, that uncertainty is propagated throughout the analysis, and that the correlation among param...

FMEA is a useful tool that helps to find possible flaws in a system or element, mainly in the design phase. But it is a mere document that has no further ''direct'' use than the observation. Mapping all this knowledge into a Bayesian Network would make it possible to use the information in further ways, like software applications for maintenance. A good FMEA has the necessary features to build ...

Time pressure and quality issues represent important challenges for those who develop web-based systems. The ability to analyze a system’s quality and implement improvements early in the development life cycle is of great practical important. For our study we have considered robustness as a critical quality issue. Our objective is to propose a general framework for conducting robustness analysi...

Biomarker studies often try to identify a combination of measured attributes to support the diagnosis of a specific disease. Measured values are commonly gained from high-throughput technologies like next generation sequencing leading to an abundance of biomarker candidates compared to the often very small sample size. Here we use an example with more than 50,000 biomarker candidates that we wa...

This analysis breaks down the congestion levels experienced during specific parts of a wilderness canoe trip. By explicitly addressing the heterogeneity in preferences for congestion during a trip, we are able to determine the relative value canoeists place on solitude at different points of a trip. Our econometric model utilizes a random effects probit framework to efficiently estimate the wel...

Online social networks (OSNs) have created new and exciting ways to connect and share information. Perhaps no site has had a more profound effect on information exchange than Twitter.com. In this paper, we study large-scale graph properties and lesser-studied local graph structures of the explicit social network and the implicit retweet network in order to better understand the relationship bet...