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Extracting and Converting Quantitative Data into Human Error Probabilities

Description: This paper discusses a proposed method using a combination of advanced statistical approaches (e.g., meta-analysis, regression, structural equation modeling) that will not only convert different empirical results into a common metric for scaling individual PSFs effects, but will also examine the complex interrelationships among PSFs. Furthermore, the paper discusses how the derived statistical estimates (i.e., effect sizes) can be mapped onto a HRA method (e.g. SPAR-H) to generate HEPs that can then be use in probabilistic risk assessment (PRA). The paper concludes with a discussion of the benefits of using academic literature in assisting HRA analysts in generating sound HEPs and HRA developers in validating current HRA models and formulating new HRA models.
Date: August 1, 2007
Creator: Tran, Tuan Q.; Boring, Ronald L.; Joe, Jeffrey C. & Griffith, Candice D.
Partner: UNT Libraries Government Documents Department

Deep in Data: Empirical Data Based Software Accuracy Testing Using the Building America Field Data Repository: Preprint

Description: An opportunity is available for using home energy consumption and building description data to develop a standardized accuracy test for residential energy analysis tools. That is, to test the ability of uncalibrated simulations to match real utility bills. Empirical data collected from around the United States have been translated into a uniform Home Performance Extensible Markup Language format that may enable software developers to create translators to their input schemes for efficient access to the data. This may facilitate the possibility of modeling many homes expediently, and thus implementing software accuracy test cases by applying the translated data. This paper describes progress toward, and issues related to, developing a usable, standardized, empirical data-based software accuracy test suite.
Date: June 1, 2013
Creator: Neymark, J. & Roberts, D.
Partner: UNT Libraries Government Documents Department