Decision Science and Technology pp 171-181 | Cite as
A Robust Bayesian Look at the Theory of Precise Measurement
Chapter
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.
Keywords
Posterior Probability Prior Distribution iBee iBee Posterior Inference Posterior Expectation
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References
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© Springer Science+Business Media New York 1999