{
  "creator": [
    "Barry, John"
  ],
  "date": [
    "2011-11-29"
  ],
  "description": [
    "Bayesian reasoning is a blessed relief to those who have always  struggled with the idea that the probability of heads coming up in a  supposedly fair coin flip is always 50%, even after a long series of  coin flips has come up tails each time. According to Bayes, if a coin  keeps coming up tails we should adjust our prior belief that the  probability is 50% in the light of the posterior belief that the coin  appears to be biased towards tails. John Kruschke’s book is a 600 page  development of this Bayesian theme. The 23 chapters cover the basics of  parameters, probability, Baye’s rule, the R and BUGS statistical  programmes, the fundamentals applied to inferring a binomial proportion,  and how all of this is applied to the generalized linear model.  Kruschke has the rare ability amongst statistical textbook authors of  writing very engagingly about knotty topics. For those who want to do  what the title of the book suggests – learning to do Bayesian data  analysis by learning programs languages R and BUGS – this book must be  ideal."
  ],
  "format": [
    "application/pdf"
  ],
  "identifier": [
    "https://ejop.psychopen.eu/index.php/ejop/article/view/163",
    "10.5964/ejop.v7i4.163"
  ],
  "language": [
    "eng"
  ],
  "publisher": [
    "PsychOpen GOLD / Leibniz Institut for Psychology (ZPID)"
  ],
  "relation": [
    "https://ejop.psychopen.eu/index.php/ejop/article/view/163/163.pdf"
  ],
  "rights": [
    "https://creativecommons.org/licenses/by/3.0"
  ],
  "source": [
    "Europe’s Journal of Psychology; Vol. 7 No. 4 (2011); 778-779",
    "1841-0413"
  ],
  "title": [
    "Doing Bayesian Data Analysis: A Tutorial with R and BUGS"
  ],
  "type": [
    "info:eu-repo/semantics/article",
    "info:eu-repo/semantics/publishedVersion"
  ]
}