Identification of uncertainty sources statistical decisions when diagnosing industrial facilities

Uncertainty in Consumer Decisions

Uncertainty has been identified as a major force shaping behaviour. The ubiquity of uncertainty in everyday choices is reflected in its prevalence in economic theories. Despite the acknowledged importance of uncertainty , however, the actual content of the concept is far from clear, for uncertainty has rarely been the focus of research. Presence of uncertainty has been used as a justification f...

Minimizing Uncertainty in Semantic Identification When Computing Resources Are Limited

In this paper we examine the problem of automatic semantic identification of entities in multimedia documents from a computing point of view. Specifically, we identify as main points to consider the storage of the required knowledge and the computational complexity of the handling of the knowledge as well as of the actual identification process. In order to tackle the above we utilize (i) a spa...

Diagnosing Sources of U.S. Seasonal Forecast Skill

Industrial sources of benzene exposure?

actions (e.g., exposure assessments, epidemiologic investigations, exposure registries, surveillance) that should be pursued in communities. Even with the efforts to measure exposure, the important question about latent, adverse health effects remains unanswered. As public health professionals in environmental health committed to protect the health of communities living near hazardous waste sit...

Effective Optimization of Statistical Decisions for Age Replacement Problems under Parametric Uncertainty

In this chapter, an innovative model for age replacement is proposed. The costs included in the age replacement model are not assumed to be constants. For effective optimization of statistical decisions for age replacement problems under parametric uncertainty, based on a past random sample of lifetimes, the pivotal quantity averaging (PQA) approach is suggested. The PQA approach represents a s...