Inferential Models: Reasoning with Uncertainty (Chapman & Hall/CRC Monographs on Statistics and Applied Probability) - Image 1

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CRC Press Inferential Models: Reasoning with Uncertainty (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

Name: Inferential Models: Reasoning with Uncertainty (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)
Brand: CRC Press
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A New Approach to Sound Statistical Reasoning Inferential Models: Reasoning with Uncertainty introduces the authors’ recently developed approach to inference: the inferential model (IM) framework. This logical framework for exact probabilistic inference does not require the user to input prior information. The authors show how an IM produces meaningful prior-free probabilistic inference at a high level. The book covers the foundational motivations for this new IM approach, the basic theory behind its calibration properties, a number of important applications, and new directions for research. It discusses alternative, meaningful probabilistic interpretations of some common inferential summaries, such as p-values. It also constructs posterior probabilistic inferential summaries without a prior and Bayes’ formula and offers insight on the interesting and challenging problems of conditional and marginal inference. This book delves into statistical inference at a foundational level, addressing what the goals of statistical inference should be. It explores a new way of thinking compared to existing schools of thought on statistical inference and encourages you to think carefully about the correct approach to scientific inference.

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Brand: CRC Press
Format: Hardcover
ASIN: 1439886482
Category: Books > Subjects > Health, Family & Lifestyle
Domain: Amazon UK
Release Date: 05 November 2015
Listed Since: 13 February 2012

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CRC Press Inferential Models: Reasoning with Uncertainty (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

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