Geometric view of measurement errors
Citation
O’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.
Date
2011Author
O'Driscoll, Diarmuid
Ramirez, Donald E.
Peer Reviewed
YesMetadata
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O’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.
Abstract
The 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.
Keywords
Oblique errorsMeasurement errors
Maximum likelihood estimation
Moment estimation