Abstract
Routine fiducial Bayesian methods for the familiar situations of experimental data analysis are easy to implement and use. They fit in better with scientists’ spontaneous interpretations of data than frequentist significance tests and confidence intervals. In conclusion, these Bayesian methods have a privileged status in order to gain “public use” statements, fulfilling the requirements for experimental data reporting and acceptable by the scientific community.
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Lecoutre, B., Poitevineau, J. (2014). Conclusion. In: The Significance Test Controversy Revisited. SpringerBriefs in Statistics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-44046-9_10
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DOI: https://doi.org/10.1007/978-3-662-44046-9_10
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