  This paper describes the most accurate analytical frequentist assessment to
date of the uncertainties in the estimation of physical parameters from
gravitational waves generated by non spinning binary systems and Earth-based
networks of laser interferometers. The paper quantifies how the accuracy in
estimating the intrinsic parameters mostly depends on the network signal to
noise ratio (SNR), but the resolution in the direction of arrival also strongly
depends on the network geometry.
  We compare results for 6 different existing and possible global networks and
two different choices of the parameter space. We show how the fraction of the
sky where the one sigma angular resolution is below 2 square degrees increases
about 3 times when transitioning from the Hanford (USA), Livingston (USA) and
Cascina (Italy) network to possible 5 sites ones (while keeping the network SNR
fixed).
  The technique adopted here is an asymptotic expansion of the uncertainties in
inverse powers of the signal to noise ratio where the first order is the
inverse Fisher information matrix. We show that a common approach to use
simplified parameter spaces and only the Fisher information matrix can largely
underestimate the uncertainties (by a factor ~7 for the one sigma sky
uncertainty in square degrees at a network SNR of ~15).
