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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
  2. Altmetric Badge
    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
  17. Altmetric Badge
    Chapter 16 A Philosopher’s View on Bayesian Evaluation of Informative Hypotheses
Attention for Chapter 13: Inequality Constrained Multilevel Models
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Chapter title
Inequality Constrained Multilevel Models
Chapter number 13
Book title
Bayesian Evaluation of Informative Hypotheses
Published in
arXiv, January 2018
DOI 10.1007/978-0-387-09612-4_13
Book ISBNs
978-0-387-09611-7, 978-0-387-09612-4
Authors

Bernet S. Kato, Carel F. W. Peeters, Bernet Sekasanvu Kato, Carel F.W. Peeters

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 2 50%
Researcher 1 25%
Student > Master 1 25%
Readers by discipline Count As %
Psychology 3 75%
Social Sciences 1 25%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 January 2018.
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#10,253,242
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#254,485
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#255,023
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