2013-04-262013-04-262011O’Driscoll, D. and Ramirez, D.E. (2011) ‘Geometric view of measurement errors’ in Communication in Statistics – Simulation and Computation, Taylor and Francis, 40 (9), 1373-1382.http://hdl.handle.net/10395/1858The slope of the best fit line from minimizing the sum of the squared oblique errors is the root of a polynomial of degree four. This geometric view of measurement errors is used to give insight into the performance of various slope estimators for the measurement error model including an adjusted fourth moment estimator introduced by Gillard and Iles (2005) to remove the jump discontinuity in the estimator of Copas (1972). The polynomial of degree four is associated with a minimun deviation estimator. A simulation study compares these estimators showing improvement in bias and mean squared error.engCopyright © Communication in Statistics – Simulation and Computation, Taylor and Francis, The full journal publication can be found athttp://www.tandfonline.com/toc/lssp20/40/9Oblique errorsMeasurement errorsMaximum likelihood estimationMoment estimationArticle