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Bayesian Evaluation of Informative Hypotheses

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Cover of 'Bayesian Evaluation of Informative Hypotheses'

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 10: Inequality Constrained Analysis of Covariance
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Citations

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Chapter title
Inequality Constrained Analysis of Covariance
Chapter number 10
Book title
Bayesian Evaluation of Informative Hypotheses
Published by
Springer, New York, NY, January 2008
DOI 10.1007/978-0-387-09612-4_10
Book ISBNs
978-0-387-09611-7, 978-0-387-09612-4
Authors

Irene Klugkist, Floryt van Wesel, Sonja van Well, Annemarie Kolk

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 3 60%
Researcher 1 20%
Student > Master 1 20%
Readers by discipline Count As %
Psychology 4 80%
Social Sciences 1 20%

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