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pro vyhledávání: '"Nies, Thomas A."'
Finding meaningful ways to measure the statistical dependency between random variables $\xi$ and $\zeta$ is a timeless statistical endeavor. In recent years, several novel concepts, like the distance covariance, have extended classical notions of dep
Externí odkaz:
http://arxiv.org/abs/2105.02073
Autor:
Armstrong, Michael P., Dean, Micah J., Hoffman, William S., Zemeckis, Douglas R., Nies, Thomas A., Pierce, David E., Diodati, Paul J., McKiernan, Daniel J.
Publikováno v:
In Fisheries Research April 2013 141:62-69
Autor:
Nies, Thomas M. tnies@cincom.com
Publikováno v:
IEEE Annals of the History of Computing. Oct-Dec2009, Vol. 31 Issue 4, p55-61. 7p.
Autor:
NIES, THOMAS M.
Publikováno v:
Smart Business Cincinnati/Northern Kentucky. Mar2013, Vol. 9 Issue 2, p5-5. 1p.
Autor:
NIES, THOMAS M.1
Publikováno v:
Smart Business Cincinnati/Northern Kentucky. Dec2012, Vol. 8 Issue 11, p7-7. 1p.
Autor:
NIES, THOMAS M.1
Publikováno v:
Smart Business Cincinnati/Northern Kentucky. Oct2012, Vol. 8 Issue 9, p7-7. 1p.
Autor:
Nies, Thomas M.1
Publikováno v:
Smart Business Cincinnati/Northern Kentucky. Sep2012, Vol. 8 Issue 8, p7-7. 1p.
Autor:
Nies, Thomas M.1
Publikováno v:
Smart Business Cincinnati/Northern Kentucky. Jul2012, Vol. 8 Issue 6, p7-7. 1p.
Autor:
Nies, Thomas M.1
Publikováno v:
Smart Business Cincinnati/Northern Kentucky. Jun2012, Vol. 8 Issue 5, p6-6. 1p.
Autor:
Nies, Thomas M.1
Publikováno v:
Smart Business Cincinnati/Northern Kentucky. Nov2011, Vol. 7 Issue 10, p6-6. 1p.