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Circular statistics meets practical limitations: a simulation-based Rao's spacing test for non-continuous data.

Lukas LandlerGraeme D RuxtonErich Pascal Malkemper
Published in: Movement ecology (2019)
The traditional method of applying Rao's spacing test should be replaced by the simulation-based variant introduced here. The two methods offer similar performance but only the simulation method retains good control of the type I error rate when circular data is rounded to a finite set of values (likely due to limited precision of measuring equipment). Adoption of the simulation variant will substantially improve the reliability of this regularly-used test in the commonplace situation where data values are rounded.
Keyphrases
  • electronic health record
  • big data
  • virtual reality
  • machine learning