Abstract
We analyze the pioneering work on the theory of precise measurement of Edwards, Lindman and Savage (1963) in light of some recent developments in the theory of robust Bayesian analysis. The key points of the former are the concept of “actual” prior and bounds for the errors when replacing the actual prior by a uniform prior. The class of “actual” priors is characterized as a band of probability measures and the above bounds are improved.
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© 1999 Springer Science+Business Media New York
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Moreno, E., Pericchi, L.R., Kadane, J.B. (1999). A Robust Bayesian Look at the Theory of Precise Measurement. In: Shanteau, J., Mellers, B.A., Schum, D.A. (eds) Decision Science and Technology. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-5089-1_10
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DOI: https://doi.org/10.1007/978-1-4615-5089-1_10
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-7315-5
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