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A new approach to estimate laboratory biases in interlaboratory comparisons is presented. Quantitative results as well as qualitative information from a survey (hybrid input data) are combined using a model that includes both a hierarchical regression model for biases and a structural equation model for the answers to the survey. The complete model applies when some latent variables explain simultaneously the measurement results and the answers to the survey.
Start Date: Wednesday, July 15, 2009
End Date: Wednesday, July 15, 2009
Dr. Antonio Possolo, (301) 975-2853.