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9780367577384

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""This book is a welcome addition to the literature on Bayesian inference as it presents methods for the design and analysis of agreement studies. … The approach presented by the author is novel and the novice will find a helpful introduction to Bayesian inference in an appendix. … The text is readable and will form a valuable reference source. For those unfamiliar with WinBUGS, the author introduces the fundamentals of programming and executing BUGS."" —International Statistical Review, 2010 ""This book deals with measures of agreement from a Bayesian perspective, focusing mainly on variants of Cohen’s ¿, but also other measures included in Shoukri (2003) and von Eye and Mun (2005), frequentist texts for which this book is intended to be a Bayesian companion. Dr. Broemeling uses examples throughout the book to illustrate concepts rather than resorting to jargon … This book would be valuable for those using the methods in Shoukri and von Eye and Mun. …"" —Journal of the Royal Statistical Society, Series A, Volume 173, Issue 1, January 2010

This book is a welcome addition to the literature on Bayesian inference as it presents methods for the design and analysis of agreement studies. ... The approach presented by the author is novel and the novice will find a helpful introduction to Bayesian inference in an appendix. ... The text is readable and will form a valuable reference source. For those unfamiliar with WinBUGS, the author introduces the fundamentals of programming and executing BUGS. -International Statistical Review, 2010 This book deals with measures of agreement from a Bayesian perspective, focusing mainly on variants of Cohen's ?, but also other measures included in Shoukri (2003) and von Eye and Mun (2005), frequentist texts for which this book is intended to be a Bayesian companion. Dr. Broemeling uses examples throughout the book to illustrate concepts rather than resorting to jargon ... This book would be valuable for those using the methods in Shoukri and von Eye and Mun. ... -Journal of the Royal Statistical Society, Series A, Volume 173, Issue 1, January 2010

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Lyle D. Broemeling

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