Computer Science
Scientific paper
Feb 2006
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2006tafp.conf..103b&link_type=abstract
"Tenth Anniversary of 51 Peg-b: Status of and prospects for hot Jupiter studies. Colloquium held at Observatoire de Haute Proven
Computer Science
Scientific paper
At the present time (September, 2005) more than 150 exoplanetary candidate companions to solar-type stars are known. Such data amount is hardly sufficient for statistical researches. The classical statistical technique (histograms, cumulative distribution, etc.) provides low precision when using for comparison different distribution function values (for example, testing the distribution on structures like heterogeneities). The reason lies in a fact that a way to represent distribution function as a collection of its values is not suitable for such situation. In the present work an approach based on an effective technique of data analysis using wavelet transformations is built. General features of the wavelet analysis of statistical data are described, the practically important statistical tests are constructed. A number of univariate distributions of basic parameters (exoplanetary minimum masses, orbital periods, semi-major axes and eccentricities) are examined. The possible prospects for this technique development are discussed.
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