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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 3: Bayesian Estimation for Inequality Constrained Analysis of Variance
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Chapter title
Bayesian Estimation for Inequality Constrained Analysis of Variance
Chapter number 3
Book title
Bayesian Evaluation of Informative Hypotheses
Published by
Springer, New York, NY, January 2008
DOI 10.1007/978-0-387-09612-4_3
Book ISBNs
978-0-387-09611-7, 978-0-387-09612-4
Authors

Irene Klugkist, Joris Mulder

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Virgin Islands, U.S. 1 10%
Unknown 9 90%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 4 40%
Student > Master 2 20%
Researcher 2 20%
Student > Doctoral Student 1 10%
Other 1 10%
Other 0 0%
Readers by discipline Count As %
Psychology 3 30%
Social Sciences 3 30%
Environmental Science 2 20%
Economics, Econometrics and Finance 1 10%
Unknown 1 10%