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                                       Details for article 14 of 22 found articles
 
 
  Not every credible interval is credible: Evaluating robustness in the presence of contamination in Bayesian data analysis
 
 
Title: Not every credible interval is credible: Evaluating robustness in the presence of contamination in Bayesian data analysis
Author: Kennedy, Lauren A.
Navarro, Daniel J.
Perfors, Amy
Briggs, Nancy
Appeared in: Behavior research methods
Paging: Volume 49 (2017) nr. 6 pages 2219-2234
Year: 2017
Contents:
Publisher: Springer US, New York
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 14 of 22 found articles
 
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