Can anisotropy in the galaxy distribution tell the bias?
  We use information entropy to analyze the anisotropy in the mock galaxy
catalogues from dark matter distribution and simulated biased galaxy
distributions from $\Lambda$CDM N-body simulation. We show that one can recover
the linear bias parameter of the simulated galaxy distributions by comparing
the radial, polar and azimuthal anisotropies in the simulated galaxy
distributions with that from the dark matter distribution. This method for
determination of the linear bias requires only $O(N)$ operations as compared to
$O(N^{2})$ or at least $O(N \log N)$ operations required for the methods based
on the two-point correlation function and the power spectrum. We apply this
method to determine the linear bias parameter for the galaxies in the 2MASS
Redshift Survey (2MRS) and find that the 2MRS galaxies in the $K_{s}$ band have
a linear bias of $\sim 1.3$.
