Bayesian Methods for Measures of Agreement

Bayesian Methods for Measures of Agreement
Author: Lyle D. Broemeling
Publisher: CRC Press
Total Pages: 350
Release: 2009-01-12
Genre: Mathematics
ISBN: 1420083430

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Using WinBUGS to implement Bayesian inferences of estimation and testing hypotheses, Bayesian Methods for Measures of Agreement presents useful methods for the design and analysis of agreement studies. It focuses on agreement among the various players in the diagnostic process.The author employs a Bayesian approach to provide statistical inferences


Bayesian Methods for Measures of Agreement
Language: en
Pages: 350
Authors: Lyle D. Broemeling
Categories: Mathematics
Type: BOOK - Published: 2009-01-12 - Publisher: CRC Press

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Using WinBUGS to implement Bayesian inferences of estimation and testing hypotheses, Bayesian Methods for Measures of Agreement presents useful methods for the
Bayesian Methods for Repeated Measures
Language: en
Pages: 568
Authors: Lyle D. Broemeling
Categories: Mathematics
Type: BOOK - Published: 2015-08-04 - Publisher: CRC Press

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Analyze Repeated Measures Studies Using Bayesian TechniquesGoing beyond standard non-Bayesian books, Bayesian Methods for Repeated Measures presents the main id
Bayesian Methods for Statistical Analysis
Language: en
Pages: 698
Authors: Borek Puza
Categories: Mathematics
Type: BOOK - Published: 2015-10-01 - Publisher: ANU Press

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Bayesian Methods for Statistical Analysis is a book on statistical methods for analysing a wide variety of data. The book consists of 12 chapters, starting with
Bayesian Statistical Methods
Language: en
Pages: 197
Authors: Brian J. Reich
Categories: Mathematics
Type: BOOK - Published: 2019-04-12 - Publisher: CRC Press

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Bayesian Statistical Methods provides data scientists with the foundational and computational tools needed to carry out a Bayesian analysis. This book focuses o
Bayesian Data Analysis, Third Edition
Language: en
Pages: 677
Authors: Andrew Gelman
Categories: Mathematics
Type: BOOK - Published: 2013-11-01 - Publisher: CRC Press

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Now in its third edition, this classic book is widely considered the leading text on Bayesian methods, lauded for its accessible, practical approach to analyzin