Mathematical Statistics A Decision Theoretic Approach

We consider here linear regressions in which the independent variables are fixed constants subject to rounding errors. We show that these errors will typically cause the least-squares estimators of the regression coefficients to be biased. Bounds on this bias in a general case are derived (inequality (8)).