The Effective Sample Size
By James O. Berger, Maria J. Bayarri, Luis R. Pericchi. 2014
74 citations recorded by the source corpus.
Subfields: Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/a82fd14577575ed3d345507f91dbda40666ef623
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Statistics and Probability
- Luca Martino
- Victor Elvira
- C. van Dooremalen
- M. Masson
- M. Kramer
- Christian P. Robert
- C. Pirk
- Farouk S. Nathoo
Citations in the corpus
- Statistical guidelines for Apis mellifera research (2013, methodology): “One calculates the effective sample size by dividing the actual sample size by the over-dispersion parameter (see section 5.2.3., design effect or deff and see Madden and Hughes (1999) for a complete explanation).”
- Rethinking the Effective Sample Size (2018, background): “The first and only reference from this final part can be found in the blog post of one of the authors [41].”
- Bayesian alternatives to null-hypothesis significance testing for repeated-measures designs (2016, background): “In recent work, Berger, Bayarri, and Pericchi (2014) develop a definition of effective sample size called TESS for use in model selection procedures.”