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Statistical Reasoning with Imprecise Probabilities
Chapman & Hall (1991)
Abstract
An examination of topics involved in statistical reasoning with imprecise probabilities. The book discusses assessment and elicitation, extensions, envelopes and decisions, the importance of imprecision, conditional previsions and coherent statistical models.Other Versions
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Citations of this work
The material theory of induction.John D. Norton - 2021 - Calgary, Alberta, Canada: University of Calgary Press.
Dr. Truthlove or: How I Learned to Stop Worrying and Love Bayesian Probabilities.Kenny Easwaran - 2016 - Noûs 50 (4):816-853.
A defense of imprecise credences in inference and decision making.James Joyce - 2010 - Philosophical Perspectives 24 (1):281-323.
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