Statistics – Computation
Scientific paper
Nov 1989
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1989mnras.241..153s&link_type=abstract
Monthly Notices of the Royal Astronomical Society (ISSN 0035-8711), vol. 241, Nov. 1, 1989, p. 153-165.
Statistics
Computation
258
Astronomical Photometry, Computational Astrophysics, Cosmology, Variance (Statistics), Probability Distribution Functions, Statistical Analysis
Scientific paper
One-way analysis of variance (AoV) is recommended as a method for detection of sharp periodic signals. Application of the method requires folding and binning data with a trial period. Among several methods of this type employed in astronomy, AoV has the advantage that its probability distribution is known for any number of observations, so that its usefulness for small samples is unquestionable. Comparison of the AoV test with other tests in use demonstrate that for large samples it is at least as powerful as any of them. Examples of application of the AoV method for photometric observations are discussed. An error in the phase dispersion minimization method, namely an incorrect probability distribution and significance criterion, is also discussed. It is argued that the power of the Lafler and Kinman test is comparable to that of the AoV2 test, the AoV test with narrow bins, containing two observations each. However, the AoV2 test is less powerful than any AoV test with a reduced number of bins and so is the Lafler and Kinman test.
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