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Bayesian Evaluation of Informative Hypotheses

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Table of Contents

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    Book Overview
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    Chapter 1 An Introduction to Bayesian Evaluation of Informative Hypotheses
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    Chapter 2 Illustrative Psychological Data and Hypotheses for Bayesian Inequality Constrained Analysis of Variance
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    Chapter 3 Bayesian Estimation for Inequality Constrained Analysis of Variance
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    Chapter 4 Encompassing Prior Based Model Selection for Inequality Constrained Analysis of Variance
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    Chapter 5 An Evaluation of Bayesian Inequality Constrained Analysis of Variance
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    Chapter 6 Bayes Factors Based on Test Statistics Under Order Restrictions
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    Chapter 7 Objective Bayes Factors for Informative Hypotheses: “Completing” the Informative Hypothesis and “Splitting” the Bayes Factors
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    Chapter 8 The Bayes Factor Versus Other Model Selection Criteria for the Selection of Constrained Models
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    Chapter 9 Bayesian Versus Frequentist Inference
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    Chapter 10 Inequality Constrained Analysis of Covariance
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    Chapter 11 Inequality Constrained Latent Class Models
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    Chapter 12 Inequality Constrained Contingency Table Analysis
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    Chapter 13 Inequality Constrained Multilevel Models
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    Chapter 14 A Psychologist’s View on Bayesian Evaluation of Informative Hypotheses
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    Chapter 15 A Statistician’s View on Bayesian Evaluation of Informative Hypotheses
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    Chapter 16 A Philosopher’s View on Bayesian Evaluation of Informative Hypotheses
Attention for Chapter 9: Bayesian Versus Frequentist Inference
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Chapter title
Bayesian Versus Frequentist Inference
Chapter number 9
Book title
Bayesian Evaluation of Informative Hypotheses
Published by
Springer, New York, NY, January 2008
DOI 10.1007/978-0-387-09612-4_9
Book ISBNs
978-0-387-09611-7, 978-0-387-09612-4
Authors

Eric-Jan Wagenmakers, Michael Lee, Tom Lodewyckx, Geoffrey J. Iverson, Wagenmakers, Eric-Jan, Lee, Michael, Lodewyckx, Tom, Iverson, Geoffrey J.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 260 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 2%
Switzerland 3 1%
Germany 2 <1%
France 2 <1%
Australia 2 <1%
United Kingdom 2 <1%
Brazil 1 <1%
India 1 <1%
Canada 1 <1%
Other 3 1%
Unknown 237 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 65 25%
Researcher 44 17%
Student > Master 33 13%
Student > Bachelor 28 11%
Student > Doctoral Student 14 5%
Other 47 18%
Unknown 29 11%
Readers by discipline Count As %
Psychology 85 33%
Social Sciences 22 8%
Agricultural and Biological Sciences 14 5%
Engineering 13 5%
Medicine and Dentistry 12 5%
Other 70 27%
Unknown 44 17%