We consider the linear measurement model y = Ax+v, where Ax are the ideal measurements with A E RMXN, XE R" is a vector of parameters to be estimated, yi ER are the measured and observed quantities, and v; are the measurement errors or noise. Assume that v; are independent, identically distributed with a uniform probability density of the form = { 1 2a 0 p(z) = |z1 a (i) Show that a maximum likelihood estimate is any x satisfying ||Axyllo