Title of article :
Energy statistics: A class of statistics based on distances
Author/Authors :
Székely، نويسنده , , Gلbor J. and Rizzo، نويسنده , , Maria L.، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2013
Pages :
24
From page :
1249
To page :
1272
Abstract :
Energy distance is a statistical distance between the distributions of random vectors, which characterizes equality of distributions. The name energy derives from Newtonʹs gravitational potential energy, and there is an elegant relation to the notion of potential energy between statistical observations. Energy statistics are functions of distances between statistical observations in metric spaces. Thus even if the observations are complex objects, like functions, one can use their real valued nonnegative distances for inference. Theory and application of energy statistics are discussed and illustrated. Finally, we explore the notion of potential and kinetic energy of goodness-of-fit.
Keywords :
Multivariate independence , Distance covariance , Distance correlation , Goodness-of-Fit , Energy distance
Journal title :
Journal of Statistical Planning and Inference
Serial Year :
2013
Journal title :
Journal of Statistical Planning and Inference
Record number :
2222362
Link To Document :
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