Randomization Tests

By E. Edgington. International Encyclopedia of Statistical Science, 2011

1,051 citations recorded by the source corpus.

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Citations in the corpus

Deep Learning for Event-Driven Stock Prediction (2015, methodology): “To verify the statistical significance of our earnings, we perform a randomization test [Edgington and Onghena, 2007] by randomly buying or shorting for 1000 trials.”
An Introduction to a Permutation Based Procedure for Multi-Group PLS Analysis: Results of Tests of Differences on Simulated Data and a Cross Cultural Analysis of the Sourcing of Information System Services Between Germany and the USA (2010, methodology): “A permutation test based on randomization, as Edgington (1987) notes “is valid for any kind of sample, regardless of how the sample is selected.”
Permutation inference for the general linear model (2014, background): “While the validity of parametric tests relies on random sampling, permutation tests have their justification on the idea of random allocation of experimental units, with no reference to any underlying population (Edgington, 1995; Manly, 2007).”
Small Sample Size Solutions (2020, background): “In general, permutation tests have power close to or often exceeding that of their parametric counterparts, while making far fewer assumptions (Bradley, 1968; Edgington & Onghena, 2007).”
A paradox from randomization-based causal inference (2014, background): “For more discussion about randomization tests, please see Rosenbaum (2002) and Edgington and Onghena (2007).”
Discriminating Groups of Organisms (2010, methodology): “ical data can be estimated by bootstrapping the data within-group (Edgington 1995; Manly 1997; Wilcox 2005).”
A test of the relation between working-memory capacity and syntactic island effects (2012, background): “In the statistics literature this is known as a (null hypothesis) bootstrap test (Edgington and Onghena 2007).”
Asymptotic permutation tests in general factorial designs (2015, background): “It is well known that permutation tests are finitely exact under the assumption of exchangeability of the data; see for example Pesarin (2001), Good (2005), Edgington and Onghena (2007), Mielke and Berry (2007) or Pesarin and Salmaso (2010) and the references therein for a multitude of examples.”